By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. 

These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues. 

This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You’ll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production. 

You’ll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don’t yet exist. 

Key Responsibilities 

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production 

  
Qualifications   

• 5+ years of experience building production-grade software systems 
• Strong software engineering fundamentals including system design, testing, observability, and performance 
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements 

  
Preferred Qualifications   

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust 

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Who We Are

EDO is the TV outcomes company. Our measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales, helping advertisers, agencies, networks, streamers, and studios understand what works across linear and streaming TV.

We combine immediate engagement signals with decision science, vertical AI, and investment-grade data to help the advertising industry maximize media impact, optimize creative performance, and value every impression. EDO is headquartered in New York City and Los Angeles with office space in San Francisco. For employees residing full-time in NYC, SF, or LA, we have a hybrid work policy of three days in the office and two remote work days.

The Role

EDO is looking for a Senior Platform Engineer to help accelerate our shift toward a platform model. This is a senior IC role on the Infrastructure team focused on paved paths, reusable infrastructure patterns, and self-service workflows that help software, data, and machine learning engineers ship safely and efficiently.

Our environment is AWS-heavy and data-intensive, with heavy use of EC2, RDS, S3, SageMaker, MWAA/Airflow, Snowflake, dbt, Chef, Terraform, Spacelift, and emerging ECS/container patterns. The right person has strong AWS and infrastructure-as-code fundamentals, prior exposure to platform engineering practices, and the pragmatism to modernize existing systems without assuming everything should be rebuilt from scratch.

We approach infrastructure as an internal product: understanding engineers’ needs, prioritizing high-leverage platform capabilities, and iterating on tools and workflows that make teams faster, safer, and more self-sufficient.

What You Will Do

• Build and evolve EDO's internal platform capabilities: paved paths, reusable infrastructure modules, deployment standards, documentation, and self-service workflows.
• Own and improve Terraform and Spacelift-based infrastructure workflows, including module design, reviews, approvals, drift detection, and guardrails.
• Modernize existing AWS infrastructure, including EC2- and Chef-based systems, while helping teams adopt more standardized and repeatable patterns over time.
• Support production data and ML platform infrastructure, including MWAA/Airflow, Snowflake, dbt, SageMaker, S3, RDS, and related AWS services.
• Partner with software, data, and ML engineers as internal customers, turning recurring infrastructure needs into scalable platform capabilities rather than one-off support work.
• Improve deployment, CI/CD, observability, alerting, and incident response practices so teams can operate production systems with greater confidence.
• Expand pragmatic ECS/container deployment patterns where they create value, without treating Kubernetes as the default answer.
• Participate in a lightweight on-call rotation and use operational learnings to reduce toil, improve reliability, and strengthen the platform.

What We Are Looking For

• 6+ years of experience in platform engineering, infrastructure engineering, SRE, DevOps, cloud infrastructure, or similar roles.
• Experience building, operating, or contributing to an internal developer platform, infrastructure platform, developer productivity team, or similar platform-oriented function.
• Strong production experience with AWS, especially EC2, RDS, S3, IAM, networking, load balancing, and related operational patterns.
• Strong hands-on experience with Terraform or similar infrastructure-as-code tooling, including reusable modules and multi-environment patterns.
• Comfort working in a data-heavy environment and supporting technologies such as Airflow/MWAA, Snowflake, dbt, SageMaker, S3, and RDS.
• Product-minded approach to infrastructure: able to understand engineer pain points, prioritize high-impact platform work, document paved paths, and iterate based on adoption and feedback.
• Strong operational judgment, including debugging production systems, improving observability, and building platform patterns that support reliability, security, and cost efficiency.

Bonus Points

• Hands-on experience with Spacelift or similar IaC orchestration platforms such as Terraform Cloud or Atlantis.
• Experience helping an organization adopt platform engineering practices, including paved paths, golden paths, service templates, and developer-facing documentation.
• Experience with Chef, AWS cost management, security/compliance-driven infrastructure, or production ML/data science infrastructure.

Compensation and Benefits

EDO offers a competitive compensation package. Components of compensation include:

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
• 401(k) plan, FSA, HSA
• Commuter Benefits
• When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $170,000 to $190,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

ML engineers at Riot own the full lifecycle of machine learning in production - from problem framing through model design, deployment, and operation - building systems that serve players at global scale.  They work across disciplines with engineers, data scientists, designers, and product teams to turn ML capabilities into player-facing experiences and tools for making great games.

As a Staff Applied Modeling Engineer on an unpublished R&D product, you will lead the modeling strategy for the team - establishing architecture patterns, setting standards, and continuing to design solutions for the highest-complexity problems directly.  Your work will span multi-month efforts and across multiple disciplines, shaping how the team (and Riot) approach applied ML.  You will report to the Senior Engineering Manager of the Tech Foundations team within an R&D game project.

Responsibilities:

• Work closely with designers, artists, and other engineers to discover and conceptualize opportunities for AI-powered workflow enhancements
• Establish AI/ML architecture patterns within the project and design solutions for high-complexity problems; guide solution design considering integration and operational constraints
• Refine modeling and feature invention strategy for the project; improve architecture trade-offs, signal extraction techniques, and quality standards for complex data sources
• Refine multi-model system design and model optimization; improve interaction analysis, dependency management, and performance evaluation techniques
• Establish pipeline architecture patterns within the project, aligning with Riot’s shared tech ecosystem; guide workflow design and deployment automation; set reliability standards
• Establish research-to-production practices in partnership with research scientists; balance cutting-edge techniques with production reliability
• Elevate the team’s expertise in advanced AI/ML methods for game development through mentorship and documentation, and contribute to team health through cross-disciplinary collaboration; level up developers across discipline

Required Qualifications:

• Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience
• 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles
• Evidence that your modeling choices have been adopted beyond your immediate team - whether through reusable patterns, shared architectures, or influence on how others approach problems
• History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply
• Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction
• Comfort with ambiguity - you’ve shipped in situations where the success metric, the right approach, or both were unclear at the start.
• Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you.
• Strong written and verbal communication skills across technical and non-technical audiences
• Passion for player experience, games, or creative technology
• Proficiency in C++

Desired Qualifications:

• Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments
• Familiarity with ML platform components (model serving, feature stores, ML observability)
• Experience working in a AAA game engine (i.e. Unreal)
• Experience building multiplayer games
• Experience implementing tools for game designers and/or artists
• Experience mentoring technical ICs and contributing to engineering culture

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains.  We work with both new and current technology, creating innovative solutions to solve complex, large-scale challenges and deliver player value.  As a Principal Software Engineer, you’ll lead the development of key features and model high standards of engineering excellence. 

As a Principal Software Engineer on Riot’s AI Enablement team, you are a technical force multiplier. You will embed directly with any team at Riot to accelerate their adoption of modern AI development (e.g., generative AI, LLMs, reinforcement learning). Operating as part of an elite, highly mobile strike team, you will build production-ready AI integrations, develop robust developer tools, and level up partner engineers through side-by-side collaboration. Once a team is empowered and systems are successfully handed off, you will deploy to the next challenge. You will be at the forefront of cutting-edge AI in the game industry, bridging the gap between new technologies and live environments to shape how Riot develops products and games. You will be accountable to Riot’s Head of AI Product.

Responsibilities:

• Implement and Integrate: Lead the technical execution of integrating modern AI practices into existing engines, tools, and pipelines.
• Embed and Accelerate: Deploy onto partner teams across Riot to break down complex AI implementation problems, establish technical direction, and deliver scalable, highly performant solutions.
• Mentorship and Handoff: Train and coach embedded team engineers through pair programming, technical reviews, and hands-on collaboration. Ensure a seamless transition of code ownership before deploying to your next assignment.
• Evangelize Best Practices: Share engineering best practices, security guardrails, and performance standards for AI usage across Riot’s development ecosystem.
• Build Foundations: Identify when industry-standard tools are insufficient and develop new foundations, middleware, or APIs to connect AI research with practical development.
• Manage Ambiguity: Actively navigate highly complex, uncharted technical spaces, communicating trade-offs and building consensus among engineering and product leadership.

Required Qualifications:

• BS in Computer Science (or equivalent experience) with 8-12 years of software engineering experience.
• Extensive experience with systems integration, technical leadership, and early-stage software development.
• Deep programming proficiency in C++ and at least one other language (e.g., Python, C#).
• Shipped at least one AAA game or large-scale, high-concurrency live service product.
• Proven track record of managing high ambiguity, setting technical strategy, and leading multi-month/year initiatives.
• Practical experience utilizing, integrating, or building modern AI tools, APIs, or infrastructure.

Desired Qualifications:

• Experience extending or developing within Unreal Engine (C++).
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) or LLM orchestration.
• Background working on shared engine technology, central tools, or platform engineering teams.
• Familiarity with the Runeterra and VALORANT IPs.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As Software Engineers, we work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.

As a Staff Software Engineer in Riot Data Foundations on the Data Experiences and Automation team, you will have the chance to affect how Riot collects and uses data to improve the experience for players and Rioters. You'll work closely with our product partner and technical lead to expand data consumption and reporting capabilities and build solutions to improve the development lifecycle for data engineers and insight analysts throughout the organization. You'll be helping as Riot enables advancements and fast iteration in Machine Learning and GenAI pipelines.You will bring your experience working with globally distributed systems and work with our team of software engineers to help build efficient solutions. You will report into the Engineering Manager of the team.

Responsibilities:

• Build and enhance systems that allow team members to more effectively engage with the tools in our data ecosystem. 
• Attend stand-ups and team rituals, and work with other software engineers to deliver on team goals
• Participate in code reviews with other members of the team
• Be part of an on-call rotation to support our live products
• Provide meaningful code reviews for other members of the team
• Work collaboratively with non technical customers to accomplish deliverables

Required Qualifications:

• Bachelor’s degree in Computer Science or comparable field
• Understanding of core data engineering concepts and data pipelines
• 7+ years experience in Python, and SQL
• 5+ years experience working with data warehousing 
• Experience in working in Agile and DevOps environment

Desired Qualifications:

• Experience with ML Operations and GenAI pipelines and infrastructure
• Experience with open source ETL frameworks such as Airflow, Luigi, or similar

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Riot Data Scientists combine their wide technical expertise across data processing, automation, machine learning ("ML"), artificial intelligence ("AI"), and experimental design to inform decisions and develop data-powered products.

As a Principal Machine Learning Engineer on the Publishing Platform Data team, you will define and drive the modeling architecture that powers personalization, matchmaking, and social experiences across Riot’s player ecosystem. You’ll partner closely with Product, Data Engineering, and Software Engineering to transform large-scale social graph, matchmaking, and behavioral data into adaptive, fair, and player-centric AI systems. Your work shapes how players connect, discover communities, and experience matchmaking that feels meaningful and equitable.

Responsibilities:

• Define and lead the modeling architecture for personalization, matchmaking, social graph recommendations, and player/community discovery.
• ‘Architect multi-model systems combining skill, preference, trust, and safety signals for fair and meaningful matchmaking
• Develop models for skill inference, player behavior prediction, trust & safety signals, and multi-objective optimization across fairness, latency, and experience quality.
• Build and optimize real-time inference systems for personalized content, store offers, matchmaking, and player interactions at global scale.
• Drive adoption of advanced modeling approaches including contextual bandits, reinforcement learning, graph ML, and session-aware personalization.
• Partner with Data Engineering and Product to shape data schemas, feature pipelines, telemetry standards, and model observability across the ML lifecycle.
• Define Responsible AI standards and implement fairness audits, bias mitigation, transparency, and safety mechanisms for matchmaking and social systems.
• Lead post-launch evaluations of algorithmic impact on player sentiment, community health, and ecosystem stability.
• Set organization-wide standards for model optimization (latency, throughput, memory), multi-model orchestration, and drift detection.
• Mentor senior ML engineers and data scientists, influencing system design, experimentation strategy, and modeling craft across organizations.
• Represent the ML discipline in cross-functional design reviews, driving alignment on technical decisions, data contracts, and long-term strategy

Required Qualifications:

• 10+ years in ML/Applied AI; 3+ years in principal/staff-level technical leadership.
• Experience with large-scale, real-time ML systems (recommendations, personalization, matchmaking).
• Expertise in graph ML, RL, and representation learning.
• Proficiency in PyTorch, TensorFlow, JAX, and modern data/serving tools (Ray, Kafka, Flink, Redis).
• Strong grounding in A/B testing, experiment design, and experience metrics.
• Track record of setting ML strategy and standards across teams.

Desired Qualifications:

• Professional background in gaming, player modeling, or social ecosystems.
• Experience with trust & safety, toxicity detection, or community health models.
• Familiarity with Vertex AI, SageMaker, or internal large-scale inference systems.
• Experience integrating ML systems with live-service game backends.

For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about players' experiences, this is the role for you!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

PROCESS ENGINEER (ADVANCED R&D)

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Process Engineer at Freeform, you will have the unique opportunity to invent novel processes for the world’s most advanced metal 3D printing systems. You will deep dive into complex, multi-physics phenomena to gain a fundamental understanding of the system and use those learnings to create a new state-of-the-art process. You will work alongside an interdisciplinary team of mechanical, software, and simulations engineers to analyze massive in-situ data sets as well as post-print material characteristics and rapidly iterate on improving the printing technology with machine learning. The ideal candidate will be comfortable working in a fast-paced R&D environment, solving very audacious problems from scratch.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! 

Responsibilities: 

• Assist the Process Engineering team in developing a deep understanding of the metal additive process and hardware operation by analyzing massive in-situ data sets to gain insight into physical mechanisms of the printing process
• Drive execution of experiments, analyze data, and develop and optimize processes on a metal additive system
• Perform post-build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure
• Generate and track quality metrics of printed customer parts such as dimensional accuracy, defect distribution, and surface roughness
• Assist in the development and implementation of tool qualification procedures
• Collaborate with mechanical, software, and simulations engineers to analyze data and rapidly improve printing processes

Basic Qualifications:

• Advanced degree (MS/PhD) in material science, physics, or similar engineering discipline
• First principles thinker with strong fundamentals in physics
• Experience with experimental design and statistical data analysis
• Strong data analysis skills and ability to interpret important information from extremely large data sets

Nice to Have:

• Undergraduate research experience in material science, physics, mechanical engineering
• Process development experience from cutting edge industries such as semiconductor, solar, or displays
• Experience with Python and/or MATLAB
• Experience with statistical data analysis software such as R, JMP, or Minitab
• Experience operating complex equipment
• Familiarity with metallurgical sample preparation such as cutting, grinding, polishing, acid etching, and optical microscopy
• Passion for developing new processes from scratch
• Excellent verbal and written communication skills

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided 
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
  • In addition to the significant stock option package, the estimated salary range for this role is $95,000-$140,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

The Senior Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Sr Solutions Engineer (Corporate New Business) is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory. A background in software development and experience with developer-centric identity platforms (such as Auth0) can be particularly impactful, enabling you to deeply understand and articulate the value of Auth0 by Okta from a technical implementer's perspective.

What you’ll be doing 

• Work alongside the Corporate/New Business (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues especially those faced by development and product teams - and provide product demonstrations to align our solutions with customer needs.
• Answer product features and technical questions from customers, partners and Okta colleagues.
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed. This will include scripting and coding to showcase Auth0’s capabilities.
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value.
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team.
• Stay current on competitive analysis and market differentiation.
• Support marketing events including executive briefings, conferences, user groups, and trade shows.
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge.

What you’ll bring to the role

• 8+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications.
• Leverage your software development background to effectively communicate with technical audiences, including developers, architects, and DevOps engineers, translating their requirements into robust solutions.
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence.
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

Preferred Experience (bonus points):

• Trusted Advisor in your sales region (Area Sales Director and Area Vice President)
• Experience leading highly strategic technical sales plays, targeting new account acquisitions, or transferrable experiences preferred.
• Creation of reusable artifacts to be adopted by the presales and/or sales community.
• Publication of thought leadership documentation externally annually.
• Technical leader among peers and a mentor to help grow others in the segment.

LI#Remote

LI#CM

P7161_3396398

Senior Solution Sales Engineer - 

Position Description: 

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.  We believe in Okta’s Solutions Engineers empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilize both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• 5+ years pre-sales engineering experience
• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
• A Strong Understanding of Identity & Access Management (IAM)
• SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
• Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Experience with cloud platforms: AWS, Azure, GCP.
• You are an elite communicator
• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
• Confident dispensing knowledge to a highly skilled and experienced audience
• Typically 10-25% travel
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

 This role requires in-person onboarding and travel to an office in the U.S. during the first week of employment.

#LI-hybrid

#LI-LSS1

P13951_3337053

The Role

The software team at K2 strives to blur the lines between the various types of software development and encourages team members to get into parts of the stack they may not otherwise have experience with. This spectrum includes GNC algorithms (Rust, C++), application software on flight computers (Rust, C++), to embedded software on microcrontrollers (Rust, C++),to operating systems (Rust, C++, C), to HDL programming (VHDL, SystemVerilog), to test systems (Python), and many things inbetween. By doing this, we create a stronger team with more capable engineers. For now, this does not include front-end, artificial intelligence, or machine learning development.

As a part of the team, you will be responsible for the development and verification of the software used to fly some of the largest spacecraft that have ever been flown. You will be able to write mission-critical code that controls propulsion systems, attitude control systems, and power systems to ensure safe and reliable operation of the vehicle. In your first 6 months you will developcore pieces of the software architecture including the strategies for fault tolerance, real-time control, and telemetry downlink. In your first year you will implement larger software systems  and begin verifying your code using both software and hardware in the loop simulators. In your first two years you will operate your code on multiple spacecraft, demonstrating robust performance in demanding missions.

Responsibilities

• Create software architecture for real-time, fault tolerant control of a 20kW+ spacecraft
• Develop software applications for control of spacecraft subsystems, including propulsion, guidance/attitude control, thermal, power, and communications systems
• Design and implement state machines for robust operation of the spacecraft
• Create and utilize robust tools to allow for rapid deployment of quality code
• Perform data analysis and anomaly investigation to identify and resolve software bugs
• Support integration and testing of the spacecraft subsystems
• Build and maintain infrastructure to increase reliability when developing and testing software 

Qualifications

• Bachelor's degree in computer science, computer engineering, electrical engineering, math, or a STEM discipline or 5+ years of professional experience in software engineering 
• Development experience in Rust, C/C++, Python, VHDL, SystemVerilog

Nice to Have

• Experience with spacecraft flight software development
• Fluency with Linux systems programming and driver development
• Experience with continuous integration and continuous delivery systems
• Experience building or working with hard real-time embedded systems (bare-metal or RTOS)
• Basic knowledge of electronics, computer architecture, and control systems
• Experience developing or working with state machines
• Experience with software verification and testing methods
• Experience with software and network performance analysis and debugging
• Experience with implementing Extended Kalman Filters for inertial sensors
• Experience with fault tolerant software design and implementation
• Experience defining and creating test systems for both hardware-in-the-loop and hardware-out-of-the-loop

Compensation and Benefits:

• Base salary range for this role is $160,000 - $200,000 + equity in the company
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks

The Role

The software team at K2 strives to blur the lines between the various types of software development and encourages team members to get into parts of the stack they may not otherwise have experience with. This spectrum includes GNC algorithms (Rust, C++), application software on flight computers (Rust, C++), to embedded software on microcrontrollers (Rust, C++),to operating systems (Rust, C++, C), to HDL programming (VHDL, SystemVerilog), to test systems (Python), and many things inbetween. By doing this, we create a stronger team with more capable engineers. For now, this does not include front-end, artificial intelligence, or machine learning development.

As a part of the team, you will be responsible for the development and verification of the software used to fly some of the largest spacecraft that have ever been flown. You will be able to write mission-critical code that controls propulsion systems, attitude control systems, and power systems to ensure safe and reliable operation of the vehicle. In your first 6 months you will developcore pieces of the software architecture including the strategies for fault tolerance, real-time control, and telemetry downlink. In your first year you will implement larger software systems  and begin verifying your code using both software and hardware in the loop simulators. In your first two years you will operate your code on multiple spacecraft, demonstrating robust performance in demanding missions.

Responsibilities

• Create software architecture for real-time, fault tolerant control of a 20kW+ spacecraft
• Develop software applications for control of spacecraft subsystems, including propulsion, guidance/attitude control, thermal, power, and communications systems
• Design and implement state machines for robust operation of the spacecraft
• Create and utilize robust tools to allow for rapid deployment of quality code
• Perform data analysis and anomaly investigation to identify and resolve software bugs
• Support integration and testing of the spacecraft subsystems
• Build and maintain infrastructure to increase reliability when developing and testing software 

Qualifications

• Bachelor's degree in computer science, computer engineering, electrical engineering, math, or a STEM discipline or 10+ years of professional experience in software engineering 
• Development experience in Rust, C/C++, Python, VHDL, SystemVerilog

Nice to Have

• Experience with spacecraft flight software development
• Fluency with Linux systems programming and driver development
• Experience with continuous integration and continuous delivery systems
• Experience building or working with hard real-time embedded systems (bare-metal or RTOS)
• Basic knowledge of electronics, computer architecture, and control systems
• Experience developing or working with state machines
• Experience with software verification and testing methods
• Experience with software and network performance analysis and debugging
• Experience with implementing Extended Kalman Filters for inertial sensors
• Experience with fault tolerant software design and implementation
• Experience defining and creating test systems for both hardware-in-the-loop and hardware-out-of-the-loop

Compensation and Benefits:

• Base salary range for this role is $200,000 - $240,000 + equity in the company
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks

The Role 

Our enterprise software team builds the digital backbone that powers K2 Space’s satellite design, manufacturing, and mission operations. We develop tools that connect engineering, production, and mission control into a seamless ecosystem — enabling our hardware to get from concept to orbit faster than ever before. 

As we continue to grow, we’re looking for a Cloud Engineer who shares our vision: someone who doesn’t just maintain cloud infrastructure — but thinks deeply about scalability, security, reliability, and how cloud systems power space-grade engineering and operations. 

Responsibilities 

• Design, build, deploy, and maintain cloud infrastructure supporting mission-critical workloads (IaaS, PaaS, SaaS, FaaS) across production, staging, and development environments. 
• Define and implement infrastructure-as-code (IaC) automation (Terraform, ARM/Bicep, etc.), CI/CD pipelines, configuration management, and other automation tooling to enable rapid, reproducible, and secure deployments. 
• Collaborate with software, mission-ops, and DevOps teams to integrate cloud architecture into our development lifecycle (DevSecOps — from build to launch). 
• Establish and manage identity and access management (IAM), role-based access, encryption, network security, secrets management, and compliance controls. 
• Monitor and maintain the health, performance, and cost-effectiveness of cloud services; implement logging, monitoring, alerting, and capacity planning. 
• Perform security assessments, threat modeling, vulnerability scans, compliance audits; develop mitigation strategies and drive best practices. 
• Create clear documentation of architectures, relevant procedures, security policies, and infrastructure diagrams — and communicate across teams and stakeholders. 
• Stay on top of cloud security threats, emerging technologies, and compliance requirements — and champion proactive improvements in our cloud posture. 

Basic Qualifications 

• Bachelor’s degree in Computer Science, Information Technology, or related field — or equivalent practical experience. 
• 5+ years (senior-level) hands-on experience managing cloud infrastructure (AWS, Azure, GCP or similar), preferably across multiple cloud platforms. 
• Strong proficiency with IaC tools (Terraform, ARM/Bicep, CloudFormation, etc.), CI/CD, configuration management, and scripting (e.g. Python, Bash, PowerShell). 
• Solid understanding of cloud-native services (VMs, containers/Kubernetes, serverless, databases, networking, storage) and ability to design scalable, resilient architectures. 
• Experience with container orchestration systems (Kubernetes, Docker) and modern deployment workflows. 
• Deep knowledge of security best practices: IAM, encryption, network security (firewalls, VNets), secrets management, monitoring, logging, and compliance frameworks. 
• Familiarity with (or willingness to learn) compliance regimes relevant to defense/space sector (e.g., FedRAMP, CMMC, ITAR, government-cloud environments) — especially if working on sensitive or government-facing projects. 
• Excellent problem-solving skills, strong communication (verbal + writing), ability to work in cross-functional teams, and comfort working in a fast-paced, mission-driven startup environment. 

Preferred Qualifications 

• Advanced cloud certifications (e.g. AWS Solutions Architect/DevOps, Azure Administrator/DevOps/Security, Kubernetes certifications) 
• Experience with hybrid clouds / Gov-cloud environments / regulated-space-industry compliance 
• Prior experience supporting aerospace, defense, or highly regulated workloads 
• Familiarity with GitOps workflows, MLOps pipelines, container-security tooling, secrets vaults (e.g. HashiCorp Vault), log aggregators / monitoring systems (e.g. ELK, Splunk), and automated incident response / forensics pipelines. 

Compensation and Benefits: 

• Base salary range for this role is $165,000 - $215,000 + equity in the company 
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks 

The Role

The software team at K2 strives to blur the lines between the various types of software development and encourages team members to get into parts of the stack they may not otherwise have experience with. This spectrum includes HDL programming (VHDL, SystemVerilog), embedded software on microcontrollers (Rust, C++), operating systems (Rust, C++, C), application software on flight computers (Rust, C++), GNC algorithms (Rust, C++),  to test systems (Python), and many things inbetween. By doing this, we create a stronger team with more capable engineers. For now, this does not include front-end, artificial intelligence, or machine learning development.

As a part of the team, you will be responsible for the development and verification of FPGA firmware used to fly some of the largest spacecraft that have ever been flown. You will be able to write mission-critical code that controls propulsion systems, attitude control systems, RF systems, and power systems to ensure safe and reliable operation of the vehicle. In your first 6 months you will work with your team to develop core pieces of the FPGA architecture such as the strategies for fault tolerance, real-time control, high-speed data routing, and telemetry downlink. In your first year you will implement larger and more complex FPGA systems and begin verifying your code using both software and hardware in the loop simulators. In your first two years you will operate your code on multiple spacecraft, demonstrating robust performance in demanding missions. 

Responsibilities

• Own the architecture and implementation of critical programmable logic systems across the spacecraft that support vehicle networking, RF systems, and real-time control of all spacecraft subsystems
• Implement these architectures in RTL using VHDL and SystemVerilog
• Verify and validate FPGA designs using a mix of simulation, bench-testing, and Hardware In The Loop testbeds
• Support integration, test, and troubleshooting efforts for FPGA designs across all levels of the spacecraft development and manufacturing
• Develop the tools and infrastructure to support rapid, high-reliability FPGA solutions across all subsystems

Qualifications

• Bachelor's degree in computer science, computer engineering, electrical engineering, math, or a STEM discipline or 3+ years of professional experience in software development
• 3+ years working with complex FPGA designs spanning digital, mixed signal, or RF applications
• Development experience with VHDL or SystemVerilog

Nice to Have

• Experience integrating logic onto Xilinx SoC platforms
• Experience with digital signal processing (DSP) fundamentals and implementing complex DSP logic and software defined radios on FPGAs
• Experience implementing high-speed SERDES interfaces such as Ethernet, PCIe, and JESD204C.
• Experience with standard bus and streaming protocols such as AXI and AXI-Stream
• Experience with evaluating and integrating vendor/third party IP
• Experience with common scripting languages such as Python, TCL, and Bash
• Experience with Linux systems programming and driver development
• Experience with continuous integration and continuous delivery systems
• Experience building or working with hard real-time embedded systems (bare-metal or RTOS)
• Basic knowledge of electronics, computer architecture, and control systems
• Experience with software verification and testing methods
• Experience with software and network performance analysis and debugging

Compensation and Benefits:

• Base salary range for this role is $120,000 – $225,000 + equity in the company
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks

SOFTWARE ENGINEER

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Software Engineer at Freeform, you will play a key role in developing and deploying the software systems that power our autonomous metal 3D printing factories. You’ll work with a talented engineering team from some of the world’s most innovative companies across a range of projects including controls, high-speed data acquisition, high-performance computing (GPU’s and FPGA’s), and geometry processing pipelines that enable precise and fully automated manufacturing at scale. Your work will directly impact the performance, reliability, and scalability of our factory systems. The ideal candidate thrives in ambiguity, takes initiative on complex technical problems, and works collaboratively across disciplines to deliver robust, high-performance software solutions. This is an opportunity to build foundational systems for a new category of manufacturing technology - where your code doesn’t just run, it drives physical innovation. 

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! 

Responsibilities:  

• Architect and develop software for an advanced, production-scale metal 3D printing factory 
• Work with process, control, and mechanical engineers to integrate control algorithms into production software 
• Improve and scale out high-rate data acquisition, storage, and retrieval systems 
• Implement processes for converting customer part geometries into machine print instructions 

Basic Qualifications: 

• Bachelor’s degree in computer science, computer engineering, electrical engineering, mathematics, or physics
• Proficiency in a systems level programming language such as C/C++ or Rust
• Experience with high-performance systems software such as hardware control software, embedded software, high-volume telemetry systems, graphics rendering, or similar

Nice to Have:  

• Experience interfacing with microcontrollers, FPGA, or GPU computing hardware 
• Experience developing embedded or real-time software systems 
• Experience writing software for industrial automation systems, rockets, spacecrafts, robotics, or related hardware that operates with the physical world 
• Experience working in a Linux or RTOS environment 
• Comfortable working in fast-paced, ambiguous environments and iterating quickly (comfortable building the plane as we fly it) 
• Strong communicator who collaborates across disciplines and proactively seeks support when needed 
• Willing to take ownership of tasks big and small, with a hands-on, problem-solving mindset 
• Strong work ethic with a refuse-to-fail mindset 
• Demonstrated indicators of excellence and/or achieving success against adversity (i.e. top academic performance, leadership in engineering clubs, first-generation college student, or other examples of resilience and achievement) 

Location:  

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:  

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. 
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling world-changing technology.  
• Benefits  
  • Significant stock option packages 
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) 
  • Life insurance 
  • Traditional and Roth 401(k) 
  • Relocation assistance provided 
  • Paid vacation, sick leave, and company holidays 
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent 
  • Free daily catered lunch and dinner, and fully stocked kitchenette 
  • Casual dress, flexible work hours, and regular catered team building events 
• Compensation  
  • Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
  • In addition to the significant stock option package, the estimated salary range for this role is $115,000-$150,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 

What To Expect: 

• Thank you for your interest in our new graduate opportunity! We truly appreciate your application and enthusiasm to join our team. Please note that our interview process will include 2-3 rounds of interviews.

SENIOR SOFTWARE ENGINEER 

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Senior Software Engineer at Freeform, you will be responsible for architecting and implementing critical software systems for our autonomous 3D printing factories. You'll have an opportunity to touch many different aspects of our software ecosystem from hardware control, to high-rate telemetry and big data storage systems, to high-performance compute and machine learning pipelines. We don’t develop software in a vacuum, we develop it alongside a multi-disciplinary team with specific, real-world purposes, so collaboration and systems-level thinking are essential to success. If working in an environment where you can rapidly deploy code to solve problems on the cutting edge of AI-enabled manufacturing technology sounds exciting, we'd love to hear from you! 

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:

• Architect and develop software for an advanced, production-scale metal 3D printing system
• Work with mechanical engineers, electrical engineers, and physicists to integrate control algorithms into production software
• Improve and scale out petabyte-scale, high-rate telemetry, storage, and retrieval systems
• Use computer science and engineering fundamentals to solve notoriously challenging algorithmic and optimization problems
• Develop high-performance compute solutions using GPU parallel processing
• Move fast, innovate, don’t over-engineer things, be a good teammate, be flexible and open to new ideas, and push the bounds of what’s possible  

Basic Qualifications:

• 5+ years of professional experience in software development
• Proficiency in a systems level programming language such as C/C++ or Rust
• Experience with high-performance systems software such as hardware control systems, embedded software, high-volume telemetry systems, graphics rendering, or similar 

Nice to Have:

• Bachelor’s or advanced degree in computer science or computer engineering
• 8+ years of professional software development experience
• Experience building out backend infrastructure, high-performance storage solutions, streaming processing systems, scientific analysis pipelines and workflows
• Experience writing software for industrial automation systems, robotics, or related hardware
• Experience with operations systems, computer architecture, or similar computer systems internals
• Experience with computer graphics or similar geometry-intensive problems  
• Experience operating as a technical lead, driving architectural decisions and mentoring junior engineers 

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
  • In addition to the significant stock option package, the estimated salary range for this role is $150,000-$250,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 

⚡ POST-PRODUCTION BUILDER WANTED

Post-Production Automation Engineer

Build the systems that make our creative team superhuman.

📇 Role: Post-Production Automation Engineer

📍 Location: Los Angeles, CA (Remote-Friendly)

💰 Compensation: $120,000–$160,000

👤 Reports to: VP of Post-Production

🚀 About TubeScience

TubeScience is a data-driven creative studio producing performance advertising at massive scale — and we’re growing fast. We’re looking for a Post-Production Automation Engineer to be the most technically sophisticated person on our post team.

💡 The Role

This is a builder role — for someone genuinely excited about where AI and automation are taking Post-Production. You’ll own our automation and AI roadmap from day one, with the autonomy to identify problems and ship solutions without waiting to be asked. You are the product lead, the architect, and the builder — all in one.

🎬 What You’ll Own

🤖 Automation & AI Engineering

Architect end-to-end automation across ingest, QC, editing, delivery, and archival

Deploy LLMs, generative video platforms, and intelligent metadata/tagging systems

Design agent-based workflows that eliminate manual effort

Evaluate emerging AI tooling and own build-vs-buy decisions

🏗️ Systems Architecture & Integration

Own our Iconik MAM: custom actions, metadata schemas, transcoding, and API integrations

Build REST API and webhook integrations across post tools and third-party platforms

Develop automation pipelines in n8n, Make, or Zapier — or go custom in Python/JS

Design for resilience: logging, error handling, alerting, and monitoring

💻 Scripting & Tool Development

Write production-grade Python and JS/Node.js scripts across Adobe Creative Suite

Build internal tools that give editors superpowers without exposing the complexity

Build and maintain Adobe CEP/UXP panels inside the tools editors already use

🔬 R&D & Proactive Improvement

Audit the post pipeline for bottlenecks before the team surfaces them

Prototype emerging tech — AI, ML, new codecs, cloud-native media workflows

Own the Post-Production tooling roadmap with minimal oversight

🤝 Collaboration & Documentation

Translate Post-Production creative needs into precise technical requirements

Align with core engineering on infrastructure, deployment, and architecture

Document every system thoroughly so the team can run it confidently

Serve as final escalation for complex technical issues the post team can’t resolve

🧬 What We’re Looking For

4–6+ years in post-production engineering or workflow automation — high-volume advertising or broadcast preferred

Strong Python and/or JavaScript/Node.js — clean, production-grade code

Proven REST API integration experience with solid edge-case handling

Expert-level Iconik MAM experience strongly preferred

Hands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier or equivalent)

Deep fluency in codecs, containers, color pipelines, and shared storage (e.g. LucidLink)

Adobe Creative Suite scripting experience — CEP/UXP panel dev a strong plus

Working knowledge of AWS or Google Cloud and cloud-native media workflows

Genuine passion for post-production and excitement about transforming it with technology

➕ Bonus Points

Experience with AI video generation tools (Runway, Veo, Sora) in production

Background in high-volume performance advertising or broadcast

Multi-step agentic pipeline design or large-scale workflow orchestration

Open-source contributions in the media/post-production space

Experience with data pipelines or BI tooling connected to production metadata

✨ Benefits

🩺 Health, Vision & Dental coverage

🧳 Unlimited PTO

💰 401(k) + Matching

💗 Life Insurance

🤒 Paid Sick Days

👶 Paid Parental Leave

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

About the Role:

As a Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

We currently have multiple openings;

• Staff Software Engineer
• Principal Software Engineer
  • Additional Details: As a Principal Engineer on the ML Infrastructure team, you will be a technical leader and visionary, driving the evolution of our machine learning platform. You will tackle the most complex and impactful technical challenges, shaping the architecture and technology choices that enable our ML capabilities to scale and deliver exceptional user experiences. You will be a key influencer, bridging the gap between engineering and product, and a mentor to senior engineers, fostering a culture of technical excellence and continuous improvement. Your work will be used by millions of users.

Responsibilities:

• Design and build scalable, high throughput, and low latency distributed systems using Scala
• Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
• Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
• Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
• Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
• Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.  

Your Background:

• Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
• Strong experience with AWS or an equivalent cloud platform
• Experience building online microservices at scale with low latency serving
• Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)
• Experience with containerization technologies, such as Docker or Kubernetes
• Led the response and resolution efforts for multiple major, large-scale incidents

Bonus:

• Familiarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.
• Understanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus
• Previous experience with Akka, Erlang, Elixir or Go
• Proficient in data-driven analysis of complex A/B testing results

About Tubi:

Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

#LI-Hybrid

About the Role:

The Machine Learning team at Tubi drives the innovation behind personalized user experiences.  With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming.

We are seeking a highly skilled Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.

What You'll Do:

• Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
• Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas
• Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
• Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences.
• Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement

Your Background:

• 8+ years of industry experience building production Machine Learning systems
• MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
• Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
• Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
• Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.
• Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions.

#LI-Hybrid #LI-SC1

Engineering Manager (Assignment: Interoperability & API Engineering)

WelbeHealth PACE helps seniors stay in their homes and communities by providing medical care and community-based services. We believe in going the extra mile and aim to make a genuine difference in our participants’ lives. 

The Engineering Manager is a hands-on technical leader accountable for driving the delivery of production-grade APIs, integrations, and AI/ML–enabled services within the Interoperability & API Engineering team. This role mirrors the technical leadership engineering rigor serving as the technical anchor for a dedicated team while enabling broader organizational scaling. The Engineering Manager will architect solutions, mentor engineers, build proof of concepts (PoCs), enforce engineering excellence, and ensure secure, compliant, scalable, and high-performing systems aligned with healthcare and organizational standards.

This role is different because the Engineering Manager at WelbeHealth:

• Directly shapes secure, compliant, production-grade systems that power care for vulnerable seniors – this role is about being the hands-on technical anchor rather than just managing delivery
• Makes decisions that directly affect healthcare delivery, compliance, and participant outcomes – this role sits at the intersection of healthcare standards (HIPAA, PHI/PII), cross-functional partnerships, and rapid innovation

We care about our team members. That’s why we offer:

• Medical insurance coverage (Medical, Dental, Vision)
• Work/life balance - We mean it! 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days
• 401K savings + match
• Comprehensive compensation package including base pay and bonus
• And additional benefits!

On the day-to-day, you will:

Technical Leadership & Hands-On Engineering

• Lead end-to-end architecture, development, and delivery of APIs, microservices, and integration pipelines for internal and external healthcare systems, as well as act as the senior-most engineer for the team: designing components, writing high-quality code, troubleshooting complex issues, and performing rigorous code reviews
• Build scalable, cloud-native solutions using Azure, containerized workloads (Docker/Kubernetes), and modern integration frameworks

AI, Automation & MLOps Integration

• Implement repeatable MLOps patterns for model deployment, monitoring, and lifecycle management
• Build prototype PoCs that validate new technologies, workflows, or AI-enabled automations before scaling to production

Team Leadership, Mentorship, & Execution

• Lead and mentor a team of engineers, fostering a culture of innovation, ownership, and continuous learning, as well as step in as the escalation point for technical blockers, guiding the team toward solutions

Cross-Functional Partnership

• Collaborate with Product, Architecture, Cloud, Security, and other engineering teams to define integration strategies and solution blueprints, as well as translate complex technical designs into clear communication for non-technical stakeholders

Security, Compliance & Healthcare Standards

• Ensure all development aligns with HIPAA, PHI/PII-safe engineering, and healthcare interoperability requirements, as well as apply FHIR, HL7, EDI, and related healthcare interoperability patterns where applicable

Job requirements include:

• Bachelor’s degree in relevant field; master’s degree preferred
• Minimum of eight (8) years in software engineering, with at least three (3) years in a team leader or senior engineering capacity
• Minimum of two (2) years of hands-on experience with AI/ML, Azure AI Foundry, AI Foundry agents, or related AI integration frameworks
• Strong hands-on experience with Python and/or Node.js for API engineering and data integrations; known knowledge on Microsoft Azure tools stack is a must
• Prior experience in healthcare, interoperability, or API-heavy environments is a must
• Proficiency in REST/GraphQL API design, microservices patterns, authentication/authorization (OAuth2, JWT, Entra ID), and event-driven architectures
• Familiarity with MLOps tools (Azure ML, MLflow, Databricks) and container ecosystems
• Experience with interoperability standards such as FHIR, HL7, EDI, or clinical integration workflows is highly preferred

We are seeking an Engineering Manager that ideally has successful leadership abilities, hands on with AI/ML, Azure AI foundry with prior working experience in the healthcare domain. If you’re ready to join a team that values both its participants and team members, we’d love to hear from you!

Engineering managers at Riot are technical leaders first — they stay close to the craft, make grounded architectural decisions, and earn credibility through the quality of their technical judgment. They are also deeply invested in people: building diverse teams, growing individual careers, and creating environments where engineers do the best work of their lives. The best Riot engineering managers hold both of these responsibilities without trading one for the other.

AI Foundations (AIF) designs and operates Riot's production execution layer for models, agents, and AI-native workflows. The organization has three teams: ML Platform (model hosting, inference, lifecycle tooling), ML Bots (game-agent runtime and training), and Production AI (AI developer workflows, tooling, and vendor management), plus a small leadership staff. Together, these teams serve every game studio and central team at Riot that wants to use AI. As the Senior Manager, ML Engineering for AI Foundations, you will lead the group's engineering managers and a set of senior ICs, owning the organization's mid-term (~1 year) technical and capability roadmap. You will be accountable for coherent engineering practice across the three sub-teams, for the group's combined delivery against strategic commitments, and for building the kind of engineering culture that attracts and retains strong ML talent. This is a servant-leadership role on a team full of servant leaders. You succeed when frontline managers have the context they need to lead, senior ICs have room to focus, and teams across Riot can adopt AI with confidence. You will partner with peer leaders in game studios and central teams to understand their AI adoption challenges and feed those patterns back into the platforms and tools your teams build. You will report to the Director of AI Foundations.

Responsibilities

• Own the group's mid-term (~1 year) capability roadmap and 1+ year technical strategy; balance investment across custom platforms and tool adoption based on where Riot gets the most value.
• Track adoption and impact metrics; re-prioritize based on usage data and partner feedback.
• Ensure coherent technical direction across sub-teams; connect local tech strategy to Riot's broader AI direction. Contribute to architecture discussions, code when it helps, and support design cross-team decisions.
• Set a high bar for craft, operational rigor, and continuous learning; codify and share best practices for production ML (serving, MLOps, observability, responsible AI) so lessons from one team benefit all.
• Establish shared operational practices including cross-team on-call; maintain high ML system and model quality; ensure adherence to Responsible AI standards including fairness, explainability, and safety.
• Manage MLE team leads and senior ICs; coach managers to maintain a high performance bar and build growth plans.
• Develop ML engineering leaders; mentor ICs into management or senior technical roles; drive promotions at the Staff and Principal levels.
• Align staffing against AIF priorities, development goals, and career paths; own headcount requests (FTE and contractor). Partner with the talent team; set staffing priorities for technical roles in AIF; work with hiring managers around Riot to improve hiring practices for AI-related roles.
• Work with AIF leadership to establish operational and tooling budgets, including training, travel, and conference investment.
• Build alignment with game studios, central tech teams, and vendor partners; identify and de-risk dependencies. Manage AI vendor relationships (evaluation, integration, ongoing partnership) in coordination with AIF leadership.
• Make the transition from Tech Research to production repeatable, with clear handoff practices so promising research reaches players and Rioters.
• Advocate for AI-native workflows within AIF and across Riot; ensure stakeholders know what AIF is building, why, and how to engage. Make grounded build-vs.-adopt recommendations.
• Encourage teams to share what they learn — write-ups, demos, reusable components — so others across Riot can adopt AI more easily.

Qualifications

• BS in Computer Science, Machine Learning, or related field (or equivalent experience); 10+ years of industry experience including experience as a Senior ML Engineer or higher.
• 4+ years of management experience, including managing managers or team leads. Track record of building engineering culture by enabling the people around you.
• Evidence of shipping production ML systems that other teams depend on, with real operational weight. Working knowledge of model serving, CI/CD for ML, observability, and cost tradeoffs even if you're not writing code daily.
• Experience translating technical vision into a roadmap your teams executed against, with evidence of course-correcting when priorities shifted.
• Strong collaboration across ML, platform, product, and game development teams; track record of alignment across org boundaries. Experience making AI accessible to teams without deep ML expertise

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

About the role

In the role of senior machine learning engineer, you will report to the director of data science and machine learning in the Center for Data and Insights, working from Los Angeles or San Francisco area in California.

In this Machine Learning Engineer role focused on Algorithm Development and End-to-End Production at our VOD streaming company, you will lead the creation and deployment of scalable ML models to detect account sharing fraud, drawing from user behavior data like geolocation, concurrent sessions, and device profiles. This position is essential for collaborating with data scientists, product analysts, and data engineers,  translating research prototypes into production systems that enhance detection accuracy while minimizing user disruption, aligning with proven strategies from streaming giants to boost subscriber growth.

We work a hybrid schedule, in-office three days a week; Tuesday, Wednesday, Thursday. 

Core Areas of Responsibility

• Design and implement machine learning algorithms, including anomaly detection models, to identify unauthorized account sharing in real-time.
• Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms.
• Optimize models for performance, scalability, and efficiency to handle high-volume streaming data.
• Integrate ML solutions with existing systems via APIs and establish monitoring for model drift and retraining.
• Collaborate on A/B testing and iteration to refine algorithms based on feedback and evolving evasion tactics.

About You

• Experience: You bring 5+ years of hands-on experience in ML engineering, with a track record in fraud or anomaly detection systems, ideally in online, consumer facing products and services.
• Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or XGBoost, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks MLFlow, etc. Experience with cloud computing infra and tooling such as AWS/GCP.
• Cross-Functional Collaborations: Experienced in working with data scientists, engineers, and product teams to deploy models that support business goals like revenue optimization.
• Communication Skills: Strong ability to document technical processes and explain algorithm decisions to diverse stakeholders for seamless integration.
• Education Background: Possess a master's degree in computer science, machine learning, or a related quantitative field, with certifications in cloud ML being a plus.
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Educational Background: Graduate degree (MS or PhD) in Computer Science, Statistics, or a related field.

About the Team

Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics. As we expand our scope, our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

About the role

In the role of Senior Machine Learning Engineer for Recommendation and Personalization, you will report to the Director of Data Science and Machine Learning in the Center for Data and Insights, working from Los Angeles or San Francisco area in California. You will lead the research, development, and test of advanced models, and work together with product and engineering partners to deliver tailored experiences for our fans across the anime ecosystem, including anime video recommendations, digital manga suggestions, merchandise personalization, anime-themed gaming, music, and more. This position will collaborate closely with scientists, engineers, product owners, to prototype innovative algorithms, evaluate their impact, and integrate them into production systems that drive user engagement, retention, discovery, and satisfaction.

We work a hybrid schedule, in-office three days a week; Tuesday, Wednesday, Thursday. This position can be based in our Los Angeles or San Francisco offices.

Core Areas of Responsibility

• Research, design, and implement machine learning algorithms for recommendation systems, including collaborative filtering, content-based models, and deep learning, and generative recommendation approaches to personalize content discoveries.
• Co-develop end-to-end ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment using scalable cloud platforms with engineers.
• Optimize models for accuracy, latency, and scalability to handle massive user interaction data from streaming and multi-platform, multi-domain experiences across the fandom.
• Integrate personalization solutions with other services, and implement monitoring for model performance, bias detection, and automated retraining.
• Collaborate on A/B testing, experimentation, and iterative improvements to refine recommendations based on user feedback and evolving content trends.

About You

We get excited about candidates, like you, because you have:

Experience: You bring 8+ years of hands-on experience in applied machine learning, with a proven track record in building recommendation systems or personalization engines, ideally in media, entertainment, or e-commerce platforms.

Technical Skills: Expert in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn, with proficiency in MLOps tools such as MLflow, Docker, and cloud services like AWS SageMaker, Databricks, or similar. Experience with big data tools (e.g., Spark) and cloud infrastructure (e.g., AWS/GCP) for handling large-scale datasets.

Cross-Functional Collaborations: Experienced in partnering with data scientists and analysts, engineers, and product teams to deploy models that align with business objectives like increasing user retention and content consumption.

Communication Skills: Strong ability to document research findings, explain algorithmic choices, and present results to diverse stakeholders for effective adoption.

Educational Background: Graduate degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field, with publications or contributions in recommendation systems being a plus.

About the Team

Our team is composed of passionate Machine Learning Engineers and Data Scientists who have already made a significant impact across our product offerings, content strategy, and user engagement metrics. As we expand our scope, our team is poised to become the cornerstone of innovation and growth across various business verticals within the company. We are dedicated to leveraging advanced machine learning techniques to continue transforming how users interact with and enjoy our offering of video contents and all other services.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As a Software Engineer, you’ll work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.

As a Principal Software Engineer on the League of Legends Quality Team, you will define and drive the technical vision for our core automation frameworks, ensuring the highest standards of quality across the League of Legends ecosystem. Your work will empower engineers across multiple initiatives—ranging from gameplay mechanics to skin development—by providing reliable, scalable frameworks that support efficient and robust testing practices.

In this role, you'll report directly to the Engineering Manager and play a key leadership role in cross-team collaboration. You’ll work closely with engineers and QA across Riot to align on quality frameworks and workflows, elevate the developer experience, and improve the overall quality of our products.

We primarily use C++ for game and tooling logic, and Python to drive our test automation and validation systems.

Responsibilities:

• Collaboration with diverse teams to ensure features accomplish expectations from multiple dimensions (code quality, extensibility, modularity, scalability, security, operational concerns, and industry standards/trends)
• Work and align with different partners that span across multiple teams to ensure we're delivering awesome features to excite them
• Setting the tone for, contributing to, and defining technical discussions/designs that your team is accountable for
• Mentorship. You help Rioters develop the tools and creative atmosphere to shine, but ultimately hold them accountable for making smart calls and delivering player value
• Participate in the team's support rotation

Required Qualifications:

• 8+ years of deep hands-on experiences with compiled programming languages (C/C++, Java, Go, or C#)
• 3+ years building and maintaining automated tests for games, web, mobile, backend services, or desktop applications (scope depending on role level).
• Experience with C/C++ that spans various use-cases and platforms.
• Have been responsible for driving value through leading the development of organization-sized efforts (1-year+ scope), including requirements gathering, planning, testing, and release or deployment
• Championed software development best practices within your organization that includes design/code reviews, coding standards, source control management, testing, delivery performance, scalability, and maintainability
• You have a strong history of mentoring others in both soft and hard skills

Desired Qualifications

• Leveraged machine learning, AI, and/or functional testing techniques to enhance automated testing workflows, enabling smarter test case prioritization, anomaly detection, and adaptive regression coverage across complex game systems.
• 2+ years experience utilizing computer vision in support of automation tests

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We’re looking for experienced AI Engineers to join new AI-augmented delivery pods: purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools that operate in real PE environments. You’ll work directly with clients and cross-functional pod teammates from day one, and you will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like.

This is a highly technical, hands-on role. We move at sprint pace—not quarter pace. If you want to move quickly, own outcomes end-to-end, and build things that matter in finance, this is the role.

What You’ll Do

• Design and build multi-agent systems and RAG pipelines that automate financial workflows for PE-backed portfolio companies
• Own the full stack from prompt engineering and tool design through deployment and monitoring
• Practice eval-driven development: define how success is measured before you build
• Translate ambiguous client problems into engineering requirements and deliver results in compressed timeframes
• Present and defend architectural decisions to technical and non-technical audiences—including CFOs and PE operators
• Build observability and evaluation infrastructure to continuously improve production AI system quality
• Travel to client site as needed

Success in the First 6 Months

• Work with like-mined AI engineers to ship at least one end-to-end agentic solution in a client engagement, from scoping through production
• Establish evaluation infrastructure for your pod’s systems so that quality is measurable and regressions are caught early
• Demonstrate materially faster delivery cycles because of how you use AI tools—not just that you use them
• Build a reputation within the pod and with clients as someone who can be handed a hard problem and trusted to return a working, defensible solution

What You’ll Bring

• AI tools are woven into how you work daily—you are materially faster because of it, and you can demonstrate that concretely
• 3–8+ years of software engineering experience with a notable portion in AI/ML systems, agent development, or applied LLM engineering
• Hands-on experience building production LLM applications: RAG systems, agentic workflows, tool use, multi-agent orchestration
• Proficiency in Python; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks
• Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality
• Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines

Nice to Have

• Open-source contributions in the AI/ML space
• Finance or PE domain experience: FP&A, GL data, ERP systems (NetSuite, SAP), or financial workflow automation
• Experience building tools for reuse across multiple clients or in multi-tenant architectures
• Prior experience in consulting, professional services, or client-facing delivery environments

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment—not because they cut corners. They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

The Streaming & Media Engineering Team at Major League Baseball is seeking a Senior Software Engineer to join our Los Angeles, CA office. In this role, you will help build the next generation of platforms powering world-class fan experiences across MLB’s streaming products, including live and on-demand video processing, live content insertion, and custom orchestration software that integrates with cutting-edge broadcast equipment and operations. As a key contributor, you will design, build, and operate highly reliable distributed systems within MLB’s streaming ecosystem, while writing hands-on code, influencing technical direction, and playing an active role in design and code reviews. You will also collaborate closely with cross-functional partners across engineering, product, and operations.

Responsibilities

• Design, implement, and maintain scalable, cloud-native services that power live and VOD streaming workflows
• Decompose complex systems into well-defined services, APIs, and modules
• Write clean, efficient, well-tested, and maintainable code
• Participate in architecture/design reviews and provide thoughtful technical feedback
• Actively participate in Agile ceremonies (planning, stand-ups, retros, postmortems)
• Contribute to operational excellence through monitoring, alerting, and on-call support
• Mentor early-career engineers and promote engineering best practices
• Stay current with emerging technologies and industry trends

Qualifications & Skills

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience
• 5+ years of professional software development experience building and supporting production systems
• Strong problem-solving skills and a track record of delivering high-quality solutions
• Experience with modern software development practices: Agile, source control, CI/CD, testing, and code reviews
• Strong experience with Core Java (or Kotlin) and Spring/Spring Boot
• Experience with messaging systems and relational/non-relational databases
• Experience with JavaScript (React and/or Node.js)
• Hands-on experience with cloud platforms (GCP and/or AWS)
• Experience with cloud-native technologies: Kubernetes, Docker, Helm, Terraform
• Experience building distributed, event-driven, non-blocking systems (e.g., async I/O, virtual threads, reactive patterns)

Bonus / Nice-to-Have Skills (AI / ML)

• Experience with Generative AI / ML APIs (e.g., LLMs, embeddings, speech-to-text, video/audio analysis) and common AI-powered workflows
• Understanding of prompt engineering and model evaluation, with interest in applying AI/ML to media and automation
• Exposure to live and/or VOD streaming media systems, including familiarity with HLS, FFmpeg, and SCTE standards.
• Experience with Google Ad Manager (GAM) and ad decisioning / ad insertion workflows

Salary Range: $150,000 - $185,000 (Base Salary + Bonus)

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

• Competitive Benefits Package
• Company 401K Contribution
• Paid Time Off and Holidays
• Paid Parental Leave
• Access to Free Tickets to Baseball Games & MLB.TV
• Discounts at MLB Store | MLBShop.com
• Employee Assistance Programs (EAP)
• Onsite/Online Training & Development Programs
• Tuition Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Pet Insurance

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com   

The Role – Senior Software Engineer

We are looking for a senior software engineer to work on the systems and applications that power our automated, real-time GeniusIQ products. You will collaborate with Computer Vision and AI/Machine Learning teams to take models from research to production, ensuring they run reliably and efficiently in live environments. This includes building the services, orchestration layers, configuration tooling, monitoring and alerting systems, and internal operator interfaces required to manage, visualize, correct/enrich, and scale our automated data pipelines across thousands of global sporting events each year. 
 
What You'll Do 

• Design and develop systems and applications that power our automated, real-time GeniusIQ products including tracking data, analytics and event feeds, video products, and officiating technologies. 

• Own and implement features end-to-end across the stack, taking responsibility for the system lifecycle from configuring and managing on-premise hardware through reliable, real-time delivery of critical products to customers. 

• Lead technical discussions, drive architectural decisions, and identify opportunities to improve scalability, automation, and operational efficiency as we expand across new leagues and sports globally. 

• Design and maintain the foundational GeniusIQ platform that powers our live systems and supports development & iteration by other engineering teams building on this platform. 

• Design and improve testing and release strategies for complex, distributed systems — including backend services, web applications, data pipelines, messaging and streaming services, real-time model inference systems, and on-site hardware components. 

• Monitor, analyze, and continuously improve system performance, reliability, and scalability. Build solutions for simulating and replaying live inputs, system and metadata validation, automated evaluation and regression testing, and observability and alerting. 

• Design and build mechanisms for enabling human or agent-in-the-loop workflows that validate, correct, and enhance outputs from the system. 

  
What You’ll Bring:   

• Experience operating distributed systems. 

• Experience building real-time, interactive web frontends. 

• Experience designing APIs and integrating services. 

• Experience managing relational databases (schema design, indexing strategies, query optimization, performance tuning, migrations, and availability considerations). 

• Bachelor’s degree in Computer Science or equivalent experience. 

 
It’ll be a bonus if you know: 

• Rust, Elixir, TypeScript, Go, C++, Python 

• Postgres, relational databases 

• React, Three.js, HTML5 Video, and/or Canvas 

• REST, GraphQL, and gRPC APIs 

• Systems that run inference with Computer Vision or AI/Machine Learning models 

• AWS, Temporal.io 

• Docker, Kubernetes 

• Pulsar, RabbitMQ 

• WebAssembly 

The base salary range for this role is $175,000 - $220,000. This role will also be eligible to take part in Genius Sports Group's benefits plan. 

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required. 

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.  

One team, being brave, driving change   

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.   

Let us know when you apply if you need any assistance during the recruiting process due to a disability. 

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

The Role - Staff Engineer - Infrastructure Platform 

We are seeking a Staff Engineer to help lead critical initiatives of our core infrastructure platform. Genius Sports is currently in the process of aligning its various tech teams and acquisitions under one unified technical strategy. The infrastructure platform is the ground level of this change. The goal is to enable engineering teams to build, deploy, and operate Genius Sport’s massive product catalog in a consistent and cohesive manner. 

In this role, you’ll work with other InfraPlat leads to define and drive technical vision and implementation for a variety of projects. Some of these initiatives include multi-account/region Kubernetes clusters, MLOps, standardized deployments, and the company-wide authentication platform. In addition, you will engage with stakeholders from product engineering teams to scope requests, identify shared pain points within the org, and prioritize initiatives. 

What You’ll Bring

• 8+ years of experience building and operating infrastructure or devops platforms. 
• Experience architecting complex infrastructure with strict uptime and latency requirements across multiple regions.  
• Ability to navigate significant ambiguity and make sound technical decisions that hold up over time.
• Experience building applications and automations to eliminate toil for engineering teams. 
• Strong communication skills that enable you to drive platform adoption forwards for new teams.  
• Track record of making pragmatic tradeoff decisions across architecture, implementation, technical debt, and customer requests.
• Passion for mentorship and upleveling the team around you to maximize their full potential.

It’ll Be a Bonus if You Have 

• Experience managing hybrid edge infrastructure environments. 
• Experience with Rust in production. 
• History of open source contribution.
• Full stack software development experience with web applications or data pipelines.

The salary for this role is based on an annualized range of $230,000 - $260,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

The Opportunity

This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it.

We are looking for an experienced Senior Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products.

In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery.

The Role

At the core of Enigma’s product is our data, which makes both data science and delivery systems central to what we build.

As a Senior ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You’ll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems.

This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems.

What You'll Do

• Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems
• Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS
• Evaluate and evolve our search technology stack, driving technical design decisions across indexing strategies, retrieval architecture, and system performance tradeoffs
• Lead end-to-end work from research design through experimentation, productionization, and customer-facing delivery
• Design evaluation frameworks for measuring relevance, precision/recall, ranking quality, and user engagement signals
• Improve query understanding via techniques like embedding models, vector search, hybrid retrieval, and query rewriting
• Detect and investigate anomalies in search performance, ranking behavior, and data freshness, tracing issues to root cause
• Partner closely with Product, Engineering, and client stakeholders to improve search experience and discoverability
• Mentor teammates and help raise the bar for experimentation rigor, system design, and operational excellence

What Makes This Role Exciting?

• Impact: At Enigma, data science and machine learning aren’t just used to make product decisions; they are the product. Your work will directly shape how customers find, explore, and trust our data.
• Technical Challenge: This role spans some of the hardest challenges in search relevance, large-scale retrieval systems, ranking models, APIs, and distributed systems. If you like a technical challenge, this role is for you.
• Ownership: You’ll have meaningful autonomy to shape both research direction and the production systems that power it, including having a strong voice in our tooling and vendor ecosystem.
• Customer Proximity: Your work will directly influence how sophisticated customers integrate Enigma data into critical workflows and decision-making systems.

Our Ideal Candidate

• Brings 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems
• Has strong programming proficiency in Python and experience operating within cloud environments (AWS preferred)
• Demonstrated applied, production-level expertise in two or more of the following technical domains: information retrieval, ranking systems, NLP/embedding models, or distributed systems.
• Has experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms
• Brings strong judgment in ambiguous environments where relevance signals and ground truth are noisy or implicit
• Effectively communicates technical concepts and tradeoffs to technical and non-technical audiences
• Thrives in highly collaborative environments with strong ownership and fast iteration cycles
• Has an advanced degree in a quantitative discipline or equivalent deep industry experience

Bonus Points If You

• Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS)
• Have built customer-facing search or recommendation systems or APIs
• Have worked on query understanding, embeddings, LLM-powered retrieval, or hybrid search systems
• Have mentored senior engineers or data scientists and raised the technical bar across disciplines

About Us

At Enigma, we’re building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values – generosity, curiosity, ingenuity, & drive – guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. We’re a team of curious, driven individuals with diverse backgrounds and skills, but we’re all passionate about engineering deeper understanding through data—together. If this resonates, we would love to hear from you!

We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Salary Range: $160,000-$210,000

A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we’re creating together.

Gameplay AI is a core component of video games used to tell an engaging and exciting story through gameplay. We are looking for a Lead Gameplay AI Engineer who is excited to push the boundaries of Gameplay AI in video games for our forthcoming AAA title. This role will work side-by-side with designers and provide creative input to craft believable, innovative AI experiences. In this role, you will architect, build and maintain a variety of AI systems that bring characters and the world to life in service of outstanding, memorable gameplay. 

Responsibilities: 

• Own gameplay AI systems and related engineering tasking and development. 
• Directly manage a team of AI engineers, including career management, growth, and mentorship. 
• Architect, implement, and maintain production quality C/C++ for AI systems, behaviors, tools, and workflows. 
• Give technical leadership and counsel, ranging from short-term AI problem solving to long-term AI roadmap planning. 
• Provide the production team with guidance for scheduling, while identifying and reducing risks across AI feature development. 
• Collaborate with engineers and other disciplines to provide holistic solutions with an emphasis on delivering exceptional gameplay experiences. 
• Build and foster a highly collaborative, transparent culture that is safe, and values innovation, diversity, and work-life balance. 
• Drive innovation in AI character behaviors, ensuring NPCs feel believable and contribute meaningfully to gameplay and storytelling. 
• Analyze different approaches to solve AI problems and discuss the tradeoffs between them. 
• Write and maintain relevant documentation. 

Requirements & Skills: 

• Shipped at least one AAA game or equivalent complexity in a Gameplay AI-related role. 
• Shipped at least one AAA game or equivalent in complexity with Unreal Engine 
• At least 7 years of professional C++ experience. 
• Strong math skills. 
• Console development experience is a plus 
• Experience with machine learning is a plus. 

Qualities: 

• Ability to lead and mentor engineers, guiding growth in both AI-specific and broader technical skills. 
• Excellent interpersonal skills, communication, both verbally and written. 
• Work independently with minimal supervision. 
• Good conflict resolution abilities across varied disciplines. 

TNM considers a number of factors when determining each role's base pay range, including industry benchmarks, location, experience, and other job specific skills. In addition to base pay, this role may be eligible for other incentive compensation including equity and profit share. The estimated base pay range for this role is U.S. only and not applicable for locations outside of the U.S.

The estimated base pay range for this role is: $195,000 - $243,000

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite

STAFF FPGA ENGINEER

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Staff FPGA Engineer at Freeform, you will be responsible for architecting and implementing a custom compute platform that enables the world’s first AI-driven, intelligent metal 3D printing technology. You will use the latest and greatest in FPGA’s including the Xilinx Zynq Ultrascale+ MPSoC to scale a high-throughput, low latency image processing pipeline. You will also have an opportunity to integrate your FPGA solutions with state-of-the-art GPUs to create an advanced machine learning acceleration platform. You will drive interdisciplinary engineering efforts between software, electrical, and process engineering teams to rapidly innovate custom FPGA solutions. High-performance computing to central to what makes Freeform’s technology unique and powerful, so this is a high-impact role in which you’ll develop core IP for a world-changing technology. 

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:

• Architect and implement FPGA solutions to scale a high-throughput, ultra-low latency image processing pipeline  
• Lead interdisciplinary efforts between software, electrical, and process engineering to drive innovation on FPGA capabilities 
• Architect and implement custom FPGA capabilities to enable real-time machine learning 
• Architect and implement new logic components for use on FPGAs 
• Implement custom algorithms on FPGAs for signal processing 
• Implement custom controllers on FPGAs 

 Basic Qualifications:

• Bachelor’s degree in computer engineering, electrical engineering, computer science, or related field 
• 10+ years of FPGA development experience in SystemVerilog or VHDL 
• Familiarity with Xilinx Vivado/Vitis toolchain development environment 
• Experience with high-speed IO, board bring up, and similar hardware-centric FPGA development domains

Nice to Have:

• Master’s degree in computer engineering, electrical engineering, computer science, or related field 
• Experience with image processing or DSP
• Experience with Xilinx Zynq Ultrascale+ MPSoC 
• Experience with embedded software development including embedded Linux and System on Chip (SoC)-based architectures 
• Experience implementing math/advanced computations on FPGAs 
• Experience with heterogeneous computing platforms and high-speed data acquisition systems 
• Familiarity with C/C++ or other high-level programming languages 
• Excellent verbal and written communication skills 
• Creative thinker able to apply first-principles reasoning to solve complex problems 

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role.  
  • In addition to the significant stock option package, the estimated salary range for this role is $150,000-$400,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

SENIOR SOFTWARE ENGINEER (EMBEDDED)

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Senior Embedded Software Engineer at Freeform, you will be responsible for architecting and implementing critical embedded software systems that enable our advanced metal 3D printing factories to operate fully autonomously at high speeds with precision. This entails developing elegant software solutions for hardware control, high speed data acquisition, and custom high performance compute systems. Your software will effectively act as the nervous system of our fully automated metal printing factories. As a crucial member of the engineering team you will be responsible for driving the pace of innovation, maximizing development speed, and maintaining a standard of excellence within the entire engineering team.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:

• Architect state-of-the-art software for an advanced production-scale metal 3D printing system
• Design and develop the machine instruction interface to the metal 3D printing system hardware
• Develop software to enable the computer vision system, monitor sensor data, perform calibrations, log quality data, and keep track of the health of the printing system over its lifetime
• Work with process and control engineers to integrate control algorithms into production software
• Work with FPGA developers to develop high-speed data acquisition software
• Create software for collection and analysis of process data
• Develop software required to implement production automation solutions
• Develop, unit test, and deploy functional, scalable, robust, and maintainable software
• Generate and maintain documentation of designed software and integrated systems

Basic Qualifications:

• 5+ years of experience in software development using C/C++ and/or Rust
• Experience in real-time embedded system design with Linux OS
• Experience in object-oriented programming and design

Nice to Have:

• Bachelor's, Master's or PhD in computer science, applied mathematics, engineering, or related field
• Experience working in a high performance compute environment (FPGAs or GPUs)
• Experience with PCIe driver development and troubleshooting
• Experience with high speed data acquisition and real time closed-loop-control systems
• Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems
• Experience writing software for industrial automation systems, robotics, or related hardware
• Creative thinker able to apply first-principles reasoning to solve complex problems
• Excellent verbal and written communication skills

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
  • In addition to the significant stock option package, the estimated salary range for this role is $140,000-$250,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 

PRINCIPAL SOFTWARE ENGINEER 

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. 

As a Principal Software Engineer, you will act in a technical leadership capacity responsible for driving innovative development efforts across our broad software ecosystem including edge computing, hardware control and automation, and high-rate telemetry systems. We are looking for someone who can work effectively with electrical, mechanical, and process engineering disciplines as well as technical executives to invent and implement complex, interdisciplinary performance requirements. As a startup, we expect this person to be hands on from architecture to implementation, writing code and solving the most complex issues. Ultimately, your contributions will result in the deployment of highly sophisticated software platforms capable of processing petabytes of high-rate data on the edge and automating factory systems around the world. 

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:

• Provide architectural leadership for the development of a complex, highly integrated software system 
• Take on the most challenging development and implementation efforts in our software stack 
• Lead system level integration and validation efforts 
• Provide technical project management from conception to production when required by the size/scope of the project 
• Drive communication and collaboration with the broader engineering team by working side-by-side with the electrical, mechanical, and process engineering teams 
• Innovate on system capability and performance, accelerate engineering progress, and push the bounds of Freeform’s technology forward  

Basic Qualifications:

• 10+ years of hands-on experience architecting and implementing complex software systems using C/C++/Rust 
• Experience in industries such as robotics, IoT, autonomous cars, UAVs, or similar autonomy-centric environments 
• Experience working in a high-performance compute environment (FPGAs or GPUs) 

Nice to Have:

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field 
• Experience with edge computing, high speed data acquisition, and real time closed-loop-control systems 
• Experience with hardware acceleration for machine learning or artificial intelligence 
• Experience working in a startup or leading-edge technology environment 
• Creative thinker able to apply first-principles reasoning to solve complex problems 
• Passion for how software can be used to impact the physical world 

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role.
  • In addition to the significant stock option package, the estimated salary range for this role is $200,000-$400,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 

SENIOR PROCESS ENGINEER (ADVANCED R&D)

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Senior Process Engineer at Freeform, you will have the unique opportunity to invent novel processes for the world’s most advanced metal 3D printing systems. You will deep dive into complex, multi-physics phenomena to gain a fundamental understanding of the system and use those learnings to create a new state-of-the-art process. You will work alongside an interdisciplinary team of mechanical, software, and simulations engineers to analyze massive in-situ data sets as well as post-print material characteristics and rapidly iterate on improving the printing technology with machine learning. The ideal candidate will be comfortable working in a fast-paced R&D environment, solving very audacious problems from scratch.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! 

Responsibilities:

• Develop a deep understanding of the metal additive process and hardware operation by analyzing massive in-situ data sets to gain insight into physical mechanisms of the printing process
• Work independently to design and execute experiments, analyze data, and develop and optimize processes on a metal additive system
• Perform post-build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure
• Generate and track quality metrics of printed customer parts such as dimensional accuracy, defect distribution, and surface roughness
• Develop and implement tool qualification procedures
• Collaborate with mechanical, software, and simulations engineers to analyze data and rapidly improve printing processes
• Strategize continuous improvement plans to enhance system performance, reliability, and scalability

Basic Qualifications:

• Bachelor’s degree in material science, physics, mechanical engineering, or similar engineering discipline
• 5+ years of process development experience in complex physics-based applications such as semiconductor, solar, or additive manufacturing
• Experience developing Design of Experiments (DOE), statistical data analysis, and process optimization
• Experience gathering and processing large data sets

Nice to Have:

• Master’s or PhD in material science, physics, mechanical engineering
• Process development experience from cutting edge industries such as semiconductor, solar, or displays
• Experience with machine learning or data science
• Experience with statistical data analysis software such as R, JMP, Python, or Minitab
• Experience with statistical process control and tool health monitoring
• Experience operating complex equipment
• Familiarity with metallurgical sample preparation such as cutting, grinding, polishing, acid etching, and optical microscopy
• Familiarity with programming languages such as MATLAB or Python
• Passion for developing new processes from scratch
• Excellent verbal and written communication skills

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided 
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
  • In addition to the significant stock option package, the estimated salary range for this role is $140,000-$200,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

SENIOR MATERIALS ENGINEER (METAL 3D PRINTING)

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Senior Materials Engineer at Freeform, you will have the unique opportunity to establish the company’s M&P infrastructure, strategy, and best practices for our advanced metal 3D printing technology. We are looking for someone with solid fundamentals in materials engineering, an understanding of metals, and a keen interest in working on the cutting edge of additive manufacturing development. In this role, you will own materials engineering efforts from cradle to grave, including hands-on sample testing, analysis of findings, and strategic process improvements. If you want to make an impact at a rapidly growing company that’s revolutionizing metal additive manufacturing, we’d love to hear from you!

Success here doesn't hinge on 3D printing experience. Instead, we seek intelligent, motivated, and collaborative engineers who thrive on solving challenging problems and creating groundbreaking technology!

Responsibilities:

• Establish Freeform’s M&P best practices, and materials testing infrastructure and strategy
• Operate equipment to measure material properties such as tensile strength, surface roughness, and microstructure
• Generate and track quality metrics of printed customer parts such as dimensional accuracy, defect distribution, and surface roughness
• Organize, analyze and interpret data and present key findings
• Work with process development team to tie key materials findings into improvement of upstream printing processes, including training our advanced machine learning models
• Establish and optimize processes and procedures for measuring and quantifying material quality
• Create automation for M&P procedures to take human out of the loop
• Strategize continuous improvement plans to enhance system performance, reliability, and scalability

Basic Qualifications:

• Bachelor’s degree in material science, materials engineering, metallurgy, or mechanical engineering
• 7+ years of professional materials engineering experience (with at least three years in metals)
• Experience developing and optimizing metallurgical sample preparation techniques such as cutting, grinding, polishing, acid etching, and optical microscopy

Nice to Have:

• Master’s or PhD in in material science, materials engineering, metallurgy, or mechanical engineering highly preferred
• 10+ years of materials engineering experience
• Experience with metal additive manufacturing highly preferred
• Experience with laser powder bed fusion (LPBF) processes
• Experience in process development
• Experience operating complex materials equipment
• Familiarity with processing large datasets and statistical data analysis software such as R, JMP, or Minitab
• Passion for improving the state of metal 3D printing

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided 
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
  • In addition to the significant stock option package, the estimated salary range for this role is $125,000-$200,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 

SENIOR ADDITIVE MANUFACTURING DEVELOPMENT ENGINEER

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Senior Additive Manufacturing Development Engineer at Freeform, you will play a critical role in the development of our advanced printing technology including machine functionality, part quality, automation projects, and complex print file preparation. You will own projects cradle to grave as a responsible engineer, taking customer designs from concept through printing, testing, and delivery. You will also contribute to the overall machine system architecture with a key focus on automation by developing a fundamental understanding of the printing factory and leveraging your technical insights to advance system capabilities.

Responsibilities:

• Understand printing system capabilities and roadmap, and work with internal engineering teams (mechanical, electrical, software) to implement solutions that further automate the printing process for high volume production
• Drive all stages of print production development including file preparation, printing, post processing, and quality control
• Analyze in-situ data and post-print part quality to drive continuous improvement
• Use first-principles thinking to understand problems, define test methods, evaluate solutions, iterate and provide technical recommendations to internal and external stakeholders
• Document application requirements and objectives, statements of work, standard operating procedures, next steps and action items to align all internal and external team members
• Interface with external customers to communicate Freeform’s technical capabilities; work with customers on improving Design for Additive Manufacturing (DFAM)
• Contribute to Freeform’s internal technology development with feedback from internal and external stakeholders via detailed design and systems level improvements

Basic Qualifications:

• Bachelor’s degree in mechanical engineering or similar technical discipline
• 5+ years of professional experience with additive manufacturing
• 2+ years of professional experience with direct metal laser sintering (DMLS)
• Experience with print file preparation
• Experience with DFAM and CAD software

Nice to Have:

• Master’s degree in mechanical engineering, materials engineering, or similar technical discipline
• Process development experience for metal additive manufacturing
• Scripting experience in Matlab (or similar) for toolpath generation
• Experience working with internal and/or external customers
• Mechanical systems design experience
• Detail oriented with excellent verbal, graphical, and technical communication skills
• Demonstrated creative problem solving abilities and positive attitude

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role.
  • In addition to the significant stock option package, the estimated salary range for this role is $110,000-$200,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

MECHANICAL ENGINEER

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Mechanical Engineer at Freeform, you will own projects cradle to grave as a responsible engineer, taking advanced manufacturing hardware from initial concept through design, fabrication, testing, and deployment. You will not just be designing components; you will be architecting the future of production. You will contribute to the development of entirely new manufacturing technologies from scratch, ranging from additive machine design to integrated subtractive and post-processing solutions. The ideal candidate is capable of running projects with little oversight, is an extreme problem solver with the ability to move fast without missing important details, and has the ability to work effectively with other engineering disciplines. 

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!  

Responsibilities:

• Act as a responsible engineer in bringing hardware from concept, to CAD, to production 
• Work with senior engineers to research, develop, design, and test complex mechanical components, subassemblies, equipment, and systems 
• Perform tolerance analysis of designs at the system and subsystem level 
• Plan and perform tests to analyze the feasibility, design, operation and performance of equipment, components, and systems 
• Work hands-on to build, integrate, and validate designs and newly developed systems and/or subsystems 
• Strategize continuous improvement plans to enhance system performance, reliability, and manufacturability 

 Basic Qualifications:

• Bachelor’s degree in mechanical engineering or aerospace engineering
• 1+ years of professional experience in full life-cycle hands-on mechanical design from hand calcs to CAD to fabrication and testing (Internship or full-time experience)
• Well-versed in mechanical engineering fundamentals and comfortable taking a first-principles approach to solving problems 

Nice to Have:

• Master’s degree in mechanical engineering 
• Experience in collegiate engineering activities such as FSAE, Baja SAE, rocket clubs, or robotics clubs 
• 5+ years of experience designing complex mechanical systems for semiconductor, machining, automation, materials processing, or other related industrial manufacturing or capital equipment applications 
• Experience with NX for CAD design  
• Hands-on fabrication / machine shop experience (manual mill, manual lathe, hand-tools, etc.) 
• Knowledge of motion control and kinematics 
• Experience with design of fluid or thermal systems 
• Working knowledge of electromechanical systems 
• Passion for improving the state of metal 3D printing 
• Excellent verbal and written communication skills 

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
  • In addition to the significant stock option package, the estimated salary range for this role is $90,000-$140,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 

ADDITIVE MANUFACTURING DEVELOPMENT ENGINEER

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As an Additive Manufacturing Development Engineer at Freeform, you will play a critical role in the development of our advanced metal 3D printing technology including machine functionality, part quality analysis, print file preparation/generation, and providing DFAM recommendations for some of the world’s largest manufacturers. You will own projects from cradle to grave as a responsible engineer, taking customer designs from concept through printing, testing, and delivery. You will develop a fundamental understanding of the printing factory and will leverage your technical insights to advance system capabilities using a first principles mindset. 

This is a unique opportunity to work alongside and learn from leaders and pioneers in the metal additive manufacturing space to disrupt the industry with our autonomous printing factory technology.  

Responsibilities:

• Understand printing system capabilities and roadmap, and work with internal engineering teams (mechanical, electrical, software) to implement solutions that further automate the printing process for high volume production
• Drive all stages of print production development including design for additive manufacturing (DFAM) feedback, file preparation, printing, post processing, and quality control
• Analyze in-situ data and post-print part quality to drive continuous improvement
• Use first-principles thinking to understand problems, define test methods, evaluate solutions, iterate and provide technical recommendations to internal and external stakeholders
• Document application requirements and objectives, statements of work, standard operating procedures, next steps and action items to align all internal and external team members
• Interface with external customers to communicate Freeform’s technical capabilities; work with customers on improving Design for Additive Manufacturing (DFAM)
• Contribute to Freeform’s internal technology development with feedback from internal and external stakeholders via detailed design and systems level improvements 

Basic Qualifications:

• Bachelor’s degree in mechanical or aerospace engineering from an ABET accredited university or college
• Hands on design experience from internships or engineering clubs such as FSAE, Baja SAE, rocket club, robotics club, or similar
• Full life-cycle hardware design experience from hand calcs to CAD to fabrication and testing
• Well-versed in mechanical engineering fundamentals and comfortable taking a first-principles approach to solving problems

Nice to Have:

• Experience with metal 3D printing
• Master’s degree in mechanical engineering or aerospace engineering
• Strong academic track record
• Passion for additive manufacturing
• Scrappy, first-principles approach to solving hard problems
• Team-oriented mindset and positive attitude
• Detail oriented with excellent verbal, graphical, and technical communication skills
• DMLS (Direct Metal Laser Sintering) or LPBF (Laser Powder Bed Fusion) experience
• Process development experience for metal additive manufacturing
• Scripting experience in Matlab (or similar) for toolpath generation
• Experience working with internal and/or external customers
• Mechanical systems design experience 

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role.
  • In addition to the significant stock option package, the estimated salary range for this role is $90,000-$140,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

PROCESS ENGINEERING INTERNSHIP/CO-OP (SUMMER/FALL 2026) 

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Process Engineering Intern at Freeform, you will help develop and refine novel processes for some of the world’s most advanced metal 3D printing systems. You will work closely with experienced engineers to study complex, multi-physics behavior within the printing process, building a foundational understanding of the system and applying those insights to support the development of next-generation processes. You’ll collaborate with mechanical, software, and simulation engineers to analyze large in-situ data sets and post-print material characteristics, contributing to rapid iteration and continuous improvement of the printing technology using data-driven and machine-learning-enabled approaches.

3D printing experience is not required to be successful here - we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! 

Responsibilities: 

• Assist the Process Engineering team in developing a deep understanding of the metal additive process and hardware operation by analyzing massive in-situ data sets to gain insight into physical mechanisms of the printing process
• Execute experiments and analyze data to improve metal additive processes
• Perform post-build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure
• Assist in the development and implementation of tool qualification procedures

 Basic Qualifications: 

• Currently pursuing Bachelor's degree in material science, physics, or similar engineering discipline
• Experience with experimental design and statistical data analysis
• Strong data analysis skills and ability to interpret important information from extremely large data sets
• Experience with Python and/or MATLAB

Nice to Have: 

• Undergraduate research experience in material science, physics, mechanical engineering
• Process development experience from cutting edge industries such as semiconductor, solar, or displays
• Experience with statistical data analysis software such as R, JMP, or Minitab
• Passion for improving the state of metal 3D printing
  
• Comfortable working in fast-paced, ambiguous environments and iterating quickly (comfortable building the plane as we fly it)
  
• Strong communicator who collaborates across disciplines and proactively seeks support when needed
  
• Willing to take ownership of tasks big and small, with a hands-on, problem-solving mindset
  
• Strong work ethic with a refuse-to-fail mindset
  
• Demonstrated indicators of excellence and/or achieving success against adversity (i.e. top academic performance, leadership in engineering clubs, first-generation college student, or other examples of resilience and achievement)

Location: 

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions 
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology 
• Compensation and Benefits 
  • The compensation for this role: 
    • Engineering Intern/Undergraduate: $30/hour
    • Engineering Intern/Masters: $32.50/hour
    • Engineering Intern/PhD: $35/hour
  • Relocation assistance provided
  • Free daily catered lunch and dinner, and fully stocked kitchenette 
  • Casual dress, flexible work hours, and regular catered team building events 
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 

Engineering managers at Riot are technical leaders first—they stay close to the craft, make grounded architectural decisions, and earn credibility through the quality of their technical judgment and its impact on Riot’s ability to deliver for players. They are deeply invested in people: building diverse teams, growing individual careers, and creating environments where engineers can do the best work of their lives. The best Riot engineering managers hold both of these responsibilities without trading one for the other.

Anti-Cheat is Riot’s first defense against cheaters that don’t want to play fair. As a cross-discipline team of former cheaters, kernel developers, machine learning engineers, data analysts, and software engineers, they make products like Vanguard to detect and ban the bad guys across all of Riot’s competitive titles and platforms, staying vigilant to whatever shape they’ll take in response.  From beaming bots to scorching scripters, anti-cheat enables Riot’s game teams to take on competitive genres and design rewarding systems that would otherwise be too vulnerable to fraudsters and cheaters. As a Sr. Manager of Machine Learning Engineering on Anti-Cheat, you will lead a group of teams, including Data Analytics, Data Engineering, and ML Engineering, unified in a quest to both operationally support day-to-day anti-cheat operations and cook the ML-powered weaponry that will ultimately upgrade them. You will own the entire group’s roadmap, ensuring a coherent technical approach to modelling, warehousing, and engineering across all of anti-cheat, while also fostering strong alignment with partnering games and organizations.  Your responsibilities will include converting product priorities into tangible technical strategies, optimizing data team compositions to achieve these goals, and deeply contributing to all projects involved on a profoundly technical level.  Your success will be measured through both the statistical and the perceived fairness of Riot’s competitive ladders. You will report to the Director of Anti-Cheat.

Responsibilities

• Use all of anti-cheat’s resources to help design, build, and maintain AI/ML pipelines from end-to-end, creating an iterative, ever-evolving series of classifiers, capable of adapting in perpetuity as attackers learn from its actions.
• Leverage Riot’s centralized ML infrastructure where possible, upgrade it where necessary, and ensure that any realized technical capabilities can be capitalized on by other teams and products.
• Innovate in the anomaly detection space by creating proven, trusted player outcomes from novel and even theoretical modelling approaches.
• Drive AI/ML pipeline development and deployment standards across teams, coordinating with data engineering on shared MLOps capabilities.
• Manage individual contributors and team-level managers of a variety of shapes: Data Engineers, Data Analysts, ML Engineers while also helping shepherd the unique “Anti-Cheat Analyst” craft that amalgamates detections, reconnaissance, and player support.
• Evaluate overall team composition, identifying gaps in skills, seniority, and capacity that could impact roadmap delivery; take a proactive role in resource allocation and strategic development of team capabilities.
• Clearly articulate and demonstrate good ML engineering practices; recognize when to lean in and help directly when necessary.
• Ensure the group stays current with AI/ML developments and has high contextual awareness of company and industry direction; separate signal from noise in service of product and technical strategy.

Required Qualifications

• BS in Computer Science, Machine Learning, or related field (or equivalent experience).
• 10+ years of industry experience, including experience as a Senior ML Engineer or higher.
• 4+ years of management experience, including experience managing managers or team leads.
• Evidence that teams you’ve led have shipped ML systems that other teams or products depend on.  Not just prototypes, but production systems with real operational weight.
• Experience translating a long-term technical vision into a roadmap that your teams successfully executed against, with evidence of course-correcting when priorities shifted.
• Working knowledge of production ML systems.  You can engage credibly on model serving, CI/CD for ML, observability, and cost tradeoffs, even if you’re not writing the code daily (but you can also write the code daily).
• Comfort representing ML capabilities in cross-disciplinary forums and translating technical tradeoffs for product, design, and leadership audiences.
• History of working at the boundary between research and production, where interesting problems require both scientific rigor and engineering pragmatism.

Desired Qualifications

• Experience building iterative machine classifiers for behavioral anomalies in competitive video games.
• Hands-on experience in threat detection for risk, fraud, insurance, security, sports, or gaming spaces.
• Passion for player experience, games, or creative technology.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Riot Engineers bring deep knowledge of specific technical areas but also value the chance to work in many broader domains. As a Staff Software Engineer, you’ll also dive into projects that focus on team cohesiveness and cross-team goals. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering. In this role, you will be enabling productionized machine learning across all of Riot, at a global scale. You’ll be applying modern MLOps practices: streamlining deployment, simplifying operations, and creating reliable infrastructure that empowers data scientists, ML engineers, and product teams to deliver value quickly and confidently.

As a Staff Machine Learning Engineer, you’ll design and implement methods for model deployment, monitoring, and lifecycle management. You’ll work on enabling all kinds of AI/ML by creating critical infrastructure; think model orchestration, feature stores, vector DBs, and everything in between. Your contributions will make ML & AI easier to adopt and operate across Riot, helping game and platform teams deliver high-impact machine learning solutions more efficiently. You will report to the Engineering Manager with Riot's Game Technology Group.

Responsibilities:

• Implement and support ML inference infrastructure for real-time and batch serving, including deployment pipelines and CPU/GPU-aware orchestration
• Contribute to CI/CD workflows for ML artifacts, helping enable rapid iteration and safe promotion from development to production
• Implement platform observability features such as monitoring, drift detection, resource utilization, and latency tracking
• Support ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and safe rollback strategies
• Be thoughtful on developer UX and incorporate an iterative approach to improving
• Help lead long-term platform architecture, providing input into design decisions and contributing to team discussions
• Contribute upstream to shared infra initiatives and build feedback loops and collaboration models with other Riot platform teams
• Collaborate with researchers and game teams to understand product needs and build generalizable, reusable solutions

Required Qualifications: 

• 6+ years of experience in software engineering, with time spent on ML/AI, platform or infrastructure teams
• Experience maintaining cloud-agnostic inference platforms (e.g. KServe) or running open source frameworks (Feast, Milvus, etc.) in a production environment
• Experience with one or more inference serving frameworks (e.g., NVIDIA Triton, TorchServe, BentoML, Seldon Core etc)
• Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling
• Exposure to CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management
• Maintained or led development of services within a service-oriented architecture

Desired Qualifications:

• Proficiency in Python and experience with package management tools (e.g., Conda, Poetry)
• Exposure to AB testing and experimentation frameworks, especially in online model evaluation
• Familiarity with machine learning workflows (e.g., training, validation, deployment, monitoring) and experience working with data scientists
• Passion for player experience, game systems, or creative technology development

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

AE Studio is an LA-based company focused on increasing human agency, primarily by making the imminent AGI future go well. Our team consists of the best developers, data scientists, researchers, and founders. We do all sorts of projects, always of the quality that makes our clients sing our praises. 

We’ve worked with Samsung, Walmart, Berkshire Hathaway, and other large, important entities you’ve probably heard of.  Our work environment is fantastic for aspiring coders, calculators, and entrepreneurs.  Also, we have neither VC, nor PE, nor other acronyms funding us.  We have a weird business model where we sell our work for a profit and use those profits to pay people (I told you it was weird!). We then reinvest those profits into our promising research on AI alignment and our ambitious internal skunkworks projects. We previously sold one of our skunkworks for some number of millions of dollars.

We have made a name for ourselves in cutting-edge brain computer interface (BCI) R&D, and we are making a name for ourselves in our research and policy efforts on AI alignment. We want to optimize for human agency, if you feel similarly, please apply to support our efforts. Data scientists will have the opportunity between client projects to work on important alignment research, with the opportunity to potentially have your research project prioritized if particularly promising.

ABOUT YOU

• Experience with ML or alignment research
• You care about AI alignment, and are optimistic in humanity’s capacity to problem solve and safely navigate accelerating AI capabilities and have an awesome future
• Eager to use AI and automate everything you do
• Comfortable working in a fast-paced, startup-like environment
• Proven data science experience–primary or equal contributor, multiple smaller projects, management of stake-holders.
• Experience working with / building / training deep learning-based computer vision or NLP models or LLMs
• Lots of experience with Python
• Experience calling AI models’ APIs via REST or client libraries
• Growth mindset. Excited about learning new things and solving difficult problems
• Demonstrated ability to work independently/autonomously
• Track record for breaking down complex problems into manageable chunks for individual or team execution
• Full-time availability–but if you have cool side projects that increase human agency, we totally want you to keep working on it...we’ll even help!
• Ability to communicate effectively and work exclusively in English and communicate complex technical concepts clearly to a non-technical audience

BONUS POINTS FOR

• Experience with self-managed data science projects - show us your cool side hustles, especially if they increase human agency
• Experienced with software engineering best practices/software development background
• Agile experience (worked with Kanban, Scrum, Extreme Programming)
• JavaScript / Node.js experience
• Experience managing clients and client relationships
• Experience in startups
• Being in LA to work in person from our amazing office

Salary range is from $120K to $220K per year for people based in California. 

Not in the range? That's fine, you can still apply, and our team may fit you in a more senior position that we're not actively hiring right now, but we are growing fast and may have other openings soon.

EQUITY

Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build.

The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

About the Role

We are hiring Majors Sales Engineers to support strategic and enterprise customers, selling the full Cato platform, including Cato SASE and Cato’s AI Security capabilities.

This role is designed for senior pre-sales professionals who can engage deeply with enterprise customers, lead complex technical evaluations, and articulate how networking, security, SaaS, and AI security come together in a single converged platform.

As a Majors Sales Engineer, you will partner closely with Account Executives to drive new business, expand existing accounts, and serve as the primary technical authority throughout the entire sales lifecycle.

AI Security at Cato Networks

Cato’s AI Security capabilities are natively integrated into the Cato SASE Cloud, extending protection beyond the network layer into SaaS and AI-powered applications. AI Security enables enterprises to securely adopt and govern AI-driven services by delivering real-time visibility, control, and protection against modern risks such as identity abuse, data leakage, misconfigurations, insider threats, and unauthorized AI usage.

This unified approach allows customers to manage networking, security, SaaS, and AI security from a single cloud-native platform.

Responsibilities

• Lead and drive technical validation of the Cato platform, including SASE and AI Security capabilities, for enterprise and strategic customers

• Deliver compelling product demonstrations and presentations aligned to customer business objectives and technical requirements

• Partner with Account Executives to support new business acquisition and account expansion through technical pre-sales activities, including demos, workshops, and architecture discussions

• Serve as the primary technical resource throughout the sales cycle, addressing objections and providing expert technical guidance

• Conduct discovery sessions, technical deep dives, and proof-of-value scoping to map customer use cases to Cato’s platform

• Respond to functional and technical elements of RFIs and RFPs

• Communicate customer feedback, feature requests, and technical insights to Product Management and Engineering teams

• Stay current on SASE, SaaS security, and AI security trends, emerging technologies, and competitive offerings

• Travel throughout assigned sales territory as required

Requirements

• 4+ years of experience as a Sales Engineer, Solutions Architect, or technical pre-sales professional, preferably selling enterprise Cybersecurity SaaS solutions

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

• Experience supporting complex, multi-stakeholder enterprise sales cycles

• Familiarity with value-selling methodologies such as MEDDIC, MEDDPICC, or SPICED

• Strong technical background with demonstrated experience in several of the following areas:

  • SASE, networking, and cloud security architectures

  • SaaS platforms and APIs

  • AI, machine learning, and AI-related security risks

  • REST APIs and integrations

  • Identity, SSO, IAM, and access control

  • SIEM and security analytics

  • Cloud platforms (AWS, Azure, GCP)

  • Kubernetes and modern cloud-native environments

• Excellent presentation and written communication skills for executive, technical, and RFP audiences

• Organized, analytical, adaptable, and creative problem-solver

• Startup or high-growth company experience preferred, with comfort operating in fast-paced environments with evolving processes

A reasonable estimate of the OTE for this role, at the time of posting, is $250,000 - $275,000. Cato operates from a high place of trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skill set, experience, location, training, and certifications. 

Cato provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Health Savings/Flexible Spending Accounts, flexible time-off, paid parental leave and disability benefits.