PyTorch Jobs in San Jose.
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the Team
The Recommendations team drives personalized experiences across our platform by leveraging state-of-the-art machine learning. Our mission is to deliver meaningful, context-aware recommendations that adapt to each user's preferences in real time. We believe that true innovation in personalization requires more than great models—it depends on a robust, flexible ML platform built for experimentation and scale. To that end, we design and build the underlying ML infrastructure, ensuring our systems remain fast, reliable, and at the forefront of technology. Our work blends innovation, engineering excellence, and a deep commitment to understanding our users, shaping how they discover and engage with content every day.
About the Role
We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.
For California Only - The estimated annual salary for this position is between $229,500 - $367,100 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You'll Be Doing
- Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second
- Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
- Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
- Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
- Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies
We’re Excited If You Have
- 5+ years of experience building software solutions to concrete problems
- Strong CS fundamentals. Should be able to write an algorithm with ease
- You are fluent with one of high-level programming languages like Java, Scala, Kotlin or Python
- We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
- Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
- AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
- MS in Computer Science or related field
#LI-SSC
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku pioneered in developing operating system for TVs. Tv Technology team within Roku TV NPI group is focused on building TVs with best Audio Quality , Picture Quality and Enable innovation technology.
With tens of million TVs sold across many countries, thousands of streaming channels and billions of hours watched over the Roku TVs, having best Audio Quality & Picture Quality is crucial.
About the role
We are looking for a creative and passionate Machine Learning (ML) / Deep Learning (DL) Engineer to join the Roku TV team. You will explore Picture Quality (PQ) and Audio Quality (AQ) improvements using AI in a resource-constrained environment, pushing the limits of what is possible in TV technology. Additionally, this role will involve applying state-of-the-art ML techniques to different PQ and AQ related tasks. You will play a critical role in building scalable systems and algorithms that enhance streaming experiences for millions of users worldwide.
For California Only - The estimated annual salary for this position is between $135,000 - $185,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you’ll be doing
- Explore and implement AI-driven Picture Quality and Audio Quality improvements for Roku TV
- Apply advanced ML techniques in the optimization of models to enhance video and audio processing pipelines
- Research, understand, and implement technical papers on ML/DL to solve complex challenges
- Collaborate with engineering teams and cross-functional partners to translate business requirements into technical solutions
- Run experiments and analyze results against critical business KPIs
We’re Excited If You Have
- 1+ years of experience applying Machine Learning to concrete problems at scale
- Strong CS fundamentals; ability to write efficient algorithms with ease
- Hands-on experience with Machine Learning / Deep Learning frameworks like TensorFlow or PyTorch
- Proficiency in coding firmware development using C++
- Proficiency in coding ML/DL algorithms using Python
- Solid understanding of DL fundamentals, including RNN, CNN, and multi-modal models
- Familiarity with video processing pipelines and audio pipelines
- AI literacy and curiosity—whether through previous work or personal exploration
- Excellent communication skills, strong work ethic, and works with minimum supervision
- Have hands-on experience with edge devices like jetson nano, kadas, and similar
- Research background preferred; ability to understand and implement technical papers on ML/DL
- Published papers in the field of ML/DL are a bonus
- Hold an MS or PhD in Computer Science, Electrical Engineering, or related fields - Preferred
#LI-DH2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku
Staff Engineer, AI/ML Visualization
Share this job
Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!
Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.
What You’ll Do
- Develop and maintain highly interactive, large-scale and complex web-based visual analytics tools on AI/ML workloads.
- Design and implement creative and performant visualizations to assist in diagnosing issues or uncovering optimization opportunities in AI/ML inference and serving.
- Collaborate closely with hardware architects and compiler engineers to define, design, and implement effective visualization solutions enhancing their workflow.
- Develop high-performance visualization workflows by integrating independent graphics modules with micro-services to handle asset optimization, ensuring a non-blocking experience on the client.
- Continuously seek improvements to existing tools and develop new approaches to meet fast-evolving requirements.
- Stay up-to-date with the latest advancements in web development and visualization techniques.
- Contribute to the development of the documentation and user guides.
- Complete other responsibilities as assigned.
What You Bring
- Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
- An innate drive to clarify deep technical complexity, balancing creative visualization with engineering rigor to build analytical tools that make interdependent hardware and software models intuitive without sacrificing logical precision.
- Strong experience in full-stack visual analytics software development, with a focus on building scientific or infrastructure visualization tools. Experience in AI model visualization integrated with PyTorch is a plus.
- Strong proficiency in modern frontend technologies like React and backend technologies like Node.js or Python-based frameworks. Experience in graph-based UI is a plus.
- Proven experience in WebGL/WebGPU based frameworks such as three.js or deck.gl. GLSL experience is a plus. Experience in WebAssembly with C++ is a plus.
- Excellent problem-solving skills and ability to think critically and creatively.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-VL1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Principal Engineer, AI System Architect (Hardware)
Share this job
Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Job Title: Principal Engineer, AI System Architect (Hardware)
What You’ll Do
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a Technical Lead role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.
Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy
Job ID: 42852
-
- Technically Lead the architecture team with strong direction, shaping system‑architecture strategy and advancing key innovations
- Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
- Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale.
- Analyze representative and emerging AI workloads (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.
- Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections.
- Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices.
- Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.
- Communicate architectural insights and recommendations through clear technical presentations and documentation.
- Occasional domestic and international travel (<10%).
What You Bring
- Ph.D. in Computer Science, Electrical Engineering, or a related field preferred, with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads
- Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation.
- Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
- Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
- Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
- Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation.
- Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
- A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- You approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-SF1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Principal engineer, AI Serving Framework Architect (Software)
Share this job
Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Job Title: Principal engineer, AI Serving Framework Architect (Software)
What You’ll Do
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.
Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy
Job ID: 42853
- As a Tech Lead, leading research teams in Korea and proposing technical direction
- Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory
- Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory
- Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls
- Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM
What You Bring
- PhD in Computer Science or a related field with 10+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads.
- Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users.
- Extensive experience in designing AI Inference Software Stacks for heterogeneous devices.In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM.
- Proficiency in AI Inference System Profiling and optimization.
- Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models.
- Strong understanding of compute, memory, and networking bottlenecks in AI systems.
- Required skillsets: PyTorch, Python, and C++
- A collaborative mindset, curiosity, and resilience in solving complex challenges.
- Excellent verbal, presentation, and written communication skills.
- (Nice to have) Native or fluent Korean speakers are preferred.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- You approach challenges with curiosity and resilience, seeking data to help build. Understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change
#LI-SF1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Staff Engineer, AI System Architect (Hardware)
Share this job
Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Job Title: Staff Engineer, AI System Architect (Hardware)
What You’ll Do
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Senior Staff AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.
Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy
Job ID: 42917
- Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
• Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale.
• Analyze representative and emerging AI workloads (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.
• Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections.
• Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices.
• Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.
• Communicate architectural insights and recommendations through clear technical presentations and documentation.
• Occasional domestic and international travel (<10%).
What You Bring
- Ph.D. in Computer Science, Electrical Engineering, or a related field, with 5+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads.
• Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation.
• Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
• Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
• Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
• Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation.
• Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
• A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges. - You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- You approach challenges with curiosity and resilience, seeking data to help build.
- Understanding. You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
#LI-SF1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Principal Engineer, AI System Architect (Hardware)
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Please Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
Job Title: Principal Engineer, AI System Architect (Hardware)
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a Technical Lead role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.
Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy
Job ID: 42852
What You’ll Do
- Technically Lead the architecture team with strong direction, shaping system‑architecture strategy and advancing key innovations
- Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
- Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale.
- Analyze representative and emerging system-level architectural research (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.
- Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections.
- Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices.
- Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.
- Communicate architectural insights and recommendations through clear technical presentations and documentation.
- Occasional domestic and international travel (<10%).
What You Bring
- Ph.D. in Computer Science, Electrical Engineering, or a related field preferred, with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads
- Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation.
- Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
- Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
- Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
- Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation.
- Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
- A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges.
- You’re inclusive, adapting your style to the situation and diverse global norms of our people.
- You approach challenges with curiosity and resilience, seeking data to help build understanding.
- You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
- Innovative and creative, you proactively explore new ideas and adapt quickly to change.
#LI-SF1
What We Offer
The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance.
This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours.
Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Equal Opportunity Employment Policy
Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status.
When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.
Recruiting Agency Policy
We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings.
Applicant AI Use Policy
At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we prohibit the use of generative AI tools to misrepresent a candidate's true skills and qualifications. Permitted uses are limited to basic preparation, grammar, and research, but all submitted content and interview responses must reflect the candidate’s genuine abilities and experience. Violation of this policy may result in immediate disqualification from the hiring process.
Applicant Privacy Policy
https://semiconductor.samsung.com/about-us/careers/us/privacy/
Ready to apply?
Apply to Samsung Semiconductor
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:
- Design, implement, and evaluate novel machine learning and deep learning algorithms.
- Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.
- Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
- Conduct experiments to benchmark new techniques and evaluate model behavior.
- Develop tools and frameworks to support scalable and reproducible research and development.
- Communicate research findings to leadership in a concise, and convincing manner.
- Stay current with the latest developments in AI/ML and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
What You Need:
- M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
- Enjoys solving less-defined and complex problems
- Familiarity with good SW practices and development, including code quality, version control, etc.
- Very strong with ML frameworks such as Pytorch, or Tensorflow
- Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
- Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
- Is up to date with research literature and recent ML techniques and methodologies.
Bonus Qualifications:
- Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
- Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
- Experience developing production AI models is a plus.
- Publications at top conferences are a plus.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
As a Staff AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:
- Design, implement, and evaluate novel machine learning and deep learning algorithms.
- Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.
- Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
- Conduct experiments to benchmark new techniques and evaluate model behavior.
- Develop tools and frameworks to support scalable and reproducible research and development.
- Communicate research findings to leadership in a concise, and convincing manner.
- Stay current with the latest developments in AI/ML and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
What You Need:
- M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
- Enjoys solving less-defined and complex problems
- Familiarity with good SW practices and development, including code quality, version control, etc.
- Very strong with ML frameworks such as Pytorch, or Tensorflow
- Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
- Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
- Is up to date with research literature and recent ML techniques and methodologies.
Bonus Qualifications:
- Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
- Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
- Experience developing production AI models is a plus.
- Publications at top conferences are a plus.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $190,000 - $240,000 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Principal AI Research Engineer
Share this job
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
As a Principal AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:
- Design, implement, and evaluate novel machine learning and deep learning algorithms.
- Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.
- Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
- Conduct experiments to benchmark new techniques and evaluate model behavior.
- Develop tools and frameworks to support scalable and reproducible research and development.
- Communicate research findings to leadership in a concise, and convincing manner.
- Stay current with the latest developments in AI/ML and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
What You Need:
- M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
- Enjoys solving less-defined and complex problems
- Familiarity with good SW practices and development, including code quality, version control, etc.
- Very strong with ML frameworks such as Pytorch, or Tensorflow
- Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
- Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
- Is up to date with research literature and recent ML techniques and methodologies.
Bonus Qualifications:
- Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
- Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
- Experience developing production AI models is a plus.
- Publications at top conferences are a plus.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $270,000.00 - $340,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
As a strong AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:
- Design, implement, and evaluate novel machine learning and deep learning algorithms.
- Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment.
- Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
- Conduct experiments to benchmark new techniques and evaluate model behavior.
- Develop tools and frameworks to support scalable and reproducible research and development.
- Communicate research findings to leadership in a concise, and convincing manner.
- Stay current with the latest developments in AI/ML and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
What You Need:
- M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
- Enjoys solving less-defined and complex problems
- Familiarity with good SW practices and development, including code quality, version control, etc.
- Very strong with ML frameworks such as Pytorch, or Tensorflow
- Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
- Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
- Is up to date with research literature and recent ML techniques and methodologies.
Bonus Qualifications:
- Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
- Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
- Experience developing production AI models is a plus.
- Publications at top conferences are a plus.
Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $160,000.00 - $180,000.00 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Senior Machine Learning Engineer
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Innovate with purpose
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.
Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.
BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another.
✨ Let’s give businesses more time for what matters.
Make your impact within a rapidly growing Fintech Company
Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.
Responsibilities:
- Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
- Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
- Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
- Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
- Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
- Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
- Mentor junior team members and share technical expertise to elevate team capabilities
We’d love to chat if you have:
- Proven experience building and deploying machine learning models in production environments
- Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Previous experience with OCR extraction and NLP methodologies
- Knowledge of AI agents and strong experience with LLMs
- Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
- Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
- A problem-solving mindset and a passion for continuous learning and innovation
Visa Sponsorship: Please note that this position is eligible for visa sponsorship.
#LI
The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.
What’s in it for you?
Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.
Here is a preview of some of the amazing benefits here at BILL:
- 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
- HSA & FSA accounts
- Life Insurance, Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11+ Observed holidays and wellness days and flexible time off
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.
Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.
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Innovate with purpose
At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businesses—from startups to established brands—make smarter decisions and gain control of their operations. And we don’t stop there: we’re creating the future of financial automation so businesses can spend more time on what matters.
Working here means you become part of a vision-driven team that’s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosity—and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.
BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each person’s unique skills and experiences. We’d love to hear from you—you might be just what we’re looking for, whether in this role or another.
✨ Let’s give businesses more time for what matters.
Make your impact within a rapidly growing Fintech Company
Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.
Responsibilities:
- Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
- Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
- Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
- Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
- Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
- Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
- Mentor junior team members and share technical expertise to elevate team capabilities
We’d love to chat if you have:
- Proven experience building and deploying machine learning models in production environments
- Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Previous experience with OCR extraction and NLP methodologies
- Knowledge of AI agents and strong experience with LLMs
- Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
- Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
- A problem-solving mindset and a passion for continuous learning and innovation
Visa Sponsorship: Please note that this position is eligible for visa sponsorship.
#LI
The estimated base salary range for this role is noted below for our office location in Draper, UT. Additionally, this role is eligible to participate in BILL’s bonus and equity plan. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.
What’s in it for you?
Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isn’t only experienced by our customers, but by our employees as well.
Here is a preview of some of the amazing benefits here at BILL:
- 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
- HSA & FSA accounts
- Life Insurance, Long & Short-term disability coverage
- Employee Assistance Program (EAP)
- 11+ Observed holidays and wellness days and flexible time off
- Employee Stock Purchase Program with employee discounts
- Wellness & Fitness initiatives
- Employee recognition and referral programs
- And much more
Don’t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.
BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.
We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.
Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.
Ready to apply?
Apply to BILL
Staff Artificial Intelligence Research Engineer - (SJ2026YM)
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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do
- Design, implement, and evaluate novel machine learning and deep learning algorithms, concentrating on Large Language Models (LLMs), automated speech recognition (transcription), and unified multimodal architectures.
- Iterate on AI model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment for complex sequence-to-sequence and multimodal tasks.
- Collaborate with other research engineers to prototype and validate complex solutions from academic literature in natural language processing and speech.
- Conduct experiments to benchmark new techniques and evaluate model behavior.
- Develop tools and frameworks to support scalable and reproducible research and development.
- Communicate research findings to leadership in a concise, and convincing manner.
- Stay current with the latest developments in Generative AI and Speech/Language Models and identify relevant innovations.
- Assist in transitioning research prototypes into production-ready systems.
Minimum Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.
Minimum Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 3 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.
Alternate Education Requirement: PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.
Alternate Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 2 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.
Please apply online at: https://www.archer.com/careers. Must put job code SJ2026YM on resume/CV and cover letter.
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $240,000 to $252,000 per year.
#LI-DNF
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Figure AI is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
Our goal is to create embodied AI systems that can perceive the world through pixels, reason over memory, and reliably execute complex tasks over minutes to hours in real environments. We are looking for a Helix AI Engineer, Agentic Systems experienced in building multimodal reasoning systems—agents that operate autonomously from raw sensory input, maintain episodic memory, plan over long horizons, and execute reliably within structured evaluation harnesses, e.g. pixels-to-actions computer use agents. This role focuses on developing the agent architectures and infrastructure that enable robots to function as persistent, reliable embodied agents in the real world.
Responsibilities
- Design, train, and deploy multimodal agents that operate autonomously for hours to days
- Build agents that reason from raw sensory inputs (pixels, environment state, proprioception) to structured actions
- Implement episodic memory systems for persistent state, retrieval, and long-horizon reasoning
- Develop planning, reasoning, and tool-use mechanisms for multi-step task execution
- Build reliable perception → reasoning → action loops with strong stability and failure recovery
- Design evaluation harnesses, benchmarks, and metrics to measure agent reasoning, planning, and reliability
- Design and run data studies across the training lifecycle, including pretraining, mid-training, and post-training
- Apply reinforcement learning, reward modeling, and post-training techniques to improve agent reasoning and reliability in real-world environments
- Develop evaluation frameworks and benchmarks to measure robot reasoning, planning, and task success across diverse scenarios
- Build infrastructure for scalable model training, distributed experimentation, and agent evaluation
- Work closely with other teams to integrate agent models into the full humanoid autonomy stack
Requirements
- Experience building autonomous agents that run continuously and complete multi-step tasks
- Experience developing agents that reason from pixel inputs or raw environment observations
- Experience implementing agent memory, planning, reasoning, or tool-use systems
- Experience training or fine-tuning multimodal or foundation models
- Strong proficiency in Python and modern deep learning frameworks (e.g., PyTorch)
- Strong experimental rigor and ability to design, analyze, and iterate on ML systems
- Strong software engineering skills and ability to build reliable, maintainable systems
- Ability to work independently and own complex technical problems end-to-end
Bonus Qualifications
- Experience with embodied AI, robotics learning, or robot policy training
- Experience building multimodal foundation models (vision-language or vision-language-action)
- Background in agentic AI systems or long-horizon planning architectures
- Experience working with large-scale distributed training systems
- Publication record in machine learning, robotics, or embodied AI
- Passion for building autonomous humanoid robots that operate in the real world
The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
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About The Company
DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.
About The Role
The Foundation Model Team focuses on building large-scale foundation models for multi-agent behavior prediction and autonomous vehicle planning. By leveraging DiDi Voyager’s unparalleled driving data, we train highly robust and generalizable deep learning systems that enable safe and intelligent autonomous driving at scale.
Our models serve as the core intelligence of the autonomous driving stack, enabling vehicles to understand complex traffic scenarios, anticipate agent behavior, and make safe and efficient driving decisions.
We operate at the intersection of large-scale machine learning, autonomous driving, and foundation model research, pushing the frontier of multi-agent prediction and planning.
Responsibilities
As a member of the Foundation Model Team, you will:
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Design and train large-scale deep learning models for:
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Multi-agent trajectory prediction
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Behavior and intent prediction
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Planning and decision-making
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Build foundation model architectures (Transformers, Diffusion, Flow-based models, Decision models, VLM/VLA)
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Develop scalable training pipelines across hundreds to thousands of GPUs
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Work with massive real-world datasets and build high-quality data pipelines
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Optimize models for latency, reliability, and on-vehicle deployment
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Collaborate closely with perception, mapping, simulation, and systems teams
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Drive research ideas into production systems used by real autonomous vehicles
Qualifications
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Strong background in machine learning, deep learning, or robotics
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Experience with PyTorch / JAX / TensorFlow
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Solid understanding of modern neural architectures (transformers, diffusion, auto-regressive)
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Strong coding skills in Python and C++
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Passion for building real-world, safety-critical AI systems
Preferred Qualifications
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BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
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Experience in autonomous driving, robotics, or embodied AI
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Experience training large models on distributed GPU clusters
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Experience with trajectory prediction, planning, or decision-making systems
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Publications in top ML / robotics conferences (NeurIPS, ICML, ICLR, CVPR, RSS, CoRL, etc.)
The base salary range for this position is $129,189-$247,038 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa
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Senior Applied Scientist , Channel Growth
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The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.
Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly.
The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.
Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to productionization and monitoring. Our data scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients and traders.
We are looking for a Senior Data Scientist to design, build, and scale data driven solutions powering our forecasting, pacing, and recommendation systems for our emerging channels. You will develop advanced machine learning or deep learning models that directly influence planning, allocation and performance on our platform.
The main job directions include:
- Develop forecasting models using statistical, ML and deep learning approaches.
- Build and optimize pacing algorithms that balance short-term performance with long-term objectives and constraints.
- Build custom solutions tailored to our unique environment, where off-the-shelf models often don’t scale effectively.
- Collaborate with product teams to understand business goals and translate them into actionable data science solution.
- Work closely with engineering teams to deploy models from prototype to production, ensuring smooth integration into products.
- Define success metrics, conduct offline evaluation and online experiments (A/B testing), and measure business impact.
- Communicate technical results and tradeoffs clearly to technical and non-technical audiences.
WHO WE ARE LOOKING FOR
- Proficient in open-source languages, you have a strong passion for enhancing and expanding your technical skills. Your expertise includes hands-on development of predictive models and solutions utilizing open-source tools and cloud computing platforms. Has a deep understanding of the foundations of statistics and machine learning
- Hands-on experience building data science solutions at scale. A track record of owning a project end-to-end (from research to production), and partnership with a cross-functional team of data scientists, engineers, and product managers to deliver the data science solution and models
WHAT YOU BRING TO THE TABLE
We do not expect you to know every technology we use when you start at TTD. What we care most about is that you can learn quickly and solve complex problems using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience:
- BS/MS with 5+ years or a PhD with 3+ years of experience working in a DS and ML role that involves bringing products from ideation to production.
- Experience in building ML model in always-on production system and working with diverse technologies and data sources
- Strong experience in one or more of: forecasting, pacing systems, or recommendation systems.
- Proficient in Python
- Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).
- Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets.
- Experience in programmatic advertising and/or real-time auctions is preferred
In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan.
The Trade Desk also offers a competitive benefits package. Click here to learn more.
Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave
As an Equal Opportunity Employer, The Trade Desk is committed to creating an inclusive hiring experience where everyone has the opportunity to thrive.
Please reach out to us at accommodations@thetradedesk.com to request an accommodation or discuss any accessibility needs you may require to access our Company Website or navigate any part of the hiring process.
When you contact us, please include your preferred contact details and specify the nature of your accommodation request or questions. Any information you share will be handled confidentially and will not impact our hiring decisions.
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Staff Advanced Concepts Optimization Engineer
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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
We are seeking driven, experienced, and innovative modeling, simulation, and optimization engineers to join our Concept Development team and architect the future of electric flight. Our team develops multi-disciplinary physics simulations, advanced optimization methods, and large-scale cloud computing infrastructure, then deploys these tools to design optimal vehicle configurations. We are exceptionally data-driven and rigorous in all of our methods. We value a strong understanding of the fundamentals of numerical methods and assessments of analysis uncertainties. We are passionate about developing electric flight, and appreciate the opportunity we have in this time and place to steer and accelerate its future.
Members of this team will:
- Develop Archer’s multi-disciplinary optimization (MDO) engine, workflows, and high performance computing resources for aircraft concept development
- Translate business goals and use cases into optimization objectives and constraints.
- Deploy the MDO engine to create optimal vehicle designs for use cases.
- Communicate findings to stakeholders and support executive decision making.
- Support systems engineers to transform their designs into high level requirements, and the broader Archer engineering team to turn it into reality.
Team Skills
Members of this team bring one or more of the following capabilities and past experiences:
- General aircraft concept design
- Development of Analysis of Advanced Air Mobility (AAM) network simulations and evaluation of fleet performance
- Design of eVTOL mission profiles, assessment of vehicle performance, identification of load cases
- Understanding of eVTOL vehicle control algorithms.
- Physics-based and semi-empirical modeling of electric powertrains; sizing of electrical powertrains.
- Coupled aerodynamic and structural modeling and optimization of fuselage, wing, and propeller via both high-fidelity (i.e. CFD, FEA) and reduced-order methods.
- Development of physics-based mass and cost estimation relationships (CERs) for aerospace components.
- Surrogate modeling via Neural Networks or Gaussian Processes (Kriging) for use as fast-running model proxies.
- Modeling complex multi-physics systems of ODEs and DAEs and solving them using numerical methods.
- Gradient-based optimization, including Automatic Differentiation and Adjoint methods.
- Direct collocation and simultaneous sizing/trajectory optimization.
- Evolutionary algorithms and/or other non-gradient based methods for discrete-variable optimization.
- Uncertainty Quantification (UQ) and sensitivity analysis methods.
- Deploying parallelized simulation, analysis, or optimization workflows on cloud infrastructure and systems to store, query, and handle the resultant large datasets.
- Collaborating with discipline experts to build accurate models and validate analysis and optimization results
- Communicating complex technical topics and driving consensus amongst both technical and non-technical stakeholders
- Proficient in Python with NumPy, SciPy, OpenMDAO, JAX, CasADi, SMT, PyTorch, and / or other specialized scientific and optimization packages.
Candidate Requirements
- We are currently open to hiring for this position at the Senior, Staff, or Senior Staff level. Your final leveling and base salary will be determined by interview calibration and a comprehensive assessment of your skills and experience.
- Senior Level: 5+ years of relevant engineering experience.
- Base Salary Range: $130,000 - $160,000
- Staff Level: 8+ years of relevant engineering experience, including a proven track record of architectural ownership and technical leadership.
- Base Salary Range: $160,000 - $200,000
- Senior Staff Level: 12+ years of relevant engineering experience, with a history of driving multi-year technical strategy and cross-organizational impact.
- Base Salary Range: $200,000 - $240,000
Additional Compensation: The base salary ranges listed above do not include our total rewards package. The final bonus and equity amounts will be determined during the interview calibration process.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
Apply to Archer
Staff Flight Sciences Software and HPC Engineer
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Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What you’ll do:
- Design, implement, and maintain internal software libraries and applications as well as computing infrastructure to enable engineers to solve problems faster and more efficiently. Promote the use of shared computational infrastructure, tools, and practices across engineering teams within the Flight Sciences department.
- Develop processes and software tools to improve the reproducibility and traceability of computations. Drive the implementation of such tools.
- Promote a culture of software excellence across the engineering organization.
- Understand the needs of various engineering teams to efficiently utilize High-Performance Computing (HPC) resources, and make informed decisions on infrastructure solutions to ensure optimal resource utilization and cost savings.
- Maintain and administer on-premises HPC resources.
- Advocate for engineering and computing needs with the company-wide IT department.
What you need:
- Master's or Ph.D. in Aerospace Engineering, Mechanical Engineering, Computational Engineering, or a related field.
- 5+ years of experience as a user and developer of scientific/engineering software for flight sciences or similar disciplines (such as aerodynamics, acoustics, control, loads, thermal analysis, mass properties, vehicle simulation, etc.) in a fast-moving environment.
- Demonstrated experience in developing computing software and infrastructure, with proficiency in the scientific Python ecosystem (NumPy, SciPy, Pandas, Scikit-learn, TensorFlow/PyTorch, VTK).
- Demonstrated experience in standard best practices in software development, including version control, CI/CD, software testing, environment management.
- Demonstrated experience with the design and administration of HPC systems, either on-premise or cloud (AWS preferred). Knowledge of Linux administration, high speed network interconnects, parallel file systems, and MPI required.
- Experience with HPC management software (Slurm/PBS/Torque, OpenHPC/Bright, Warewulf/XCat, Spack/EasyBuild, Lmod).
- Good understanding of enterprise IT and common network security practices.
- Excellent problem-solving skills and ability to work collaboratively in a team environment.
Bonus qualifications:
- Experience as an engineer in one or more of the following areas of aircraft design - aerodynamics, conceptual design, rotor/propeller design, vehicle simulation, loads and dynamics, structural design, stress analysis, GNC.
- Contributions to open source scientific software projects.
- Experience with MATLAB and Simulink.
- Proficiency in one or more compiled languages (e.g. C/C++, Fortran, Rust).
- Familiarity with databases (SQL, NoSQL, time-series) and database application design (ORM/ODM).
- Experience with software packaging (Pip, Conda, Spack) and containerization technologies (Docker/Singularity/Shifter) for scientific software.
- Familiarity with software configuration management tools (Chef/Puppet/Ansible).
- Familiarity with common CI/CD tools and practices (TeamCity/Jenkins, Artifactory, Docker, etc.).
- Experience with analysis tools and workflows for aircraft/rotorcraft design (aerodynamics, CFD, GNC, loads, structural analysis, CAD, mass properties, etc.).
At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s strategy. For this position, we are targeting a base pay range of $162,800 - $217,600. Actual compensation offered will be determined by job-related knowledge, skills, and experience.
Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.
Information collected and processed as part of any job applications you choose to submit is subject to Archer's Candidate Privacy Policy.
Archer is unable to provide work visa sponsorship for this position at the present time.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
Archer Aviation does not engage with external recruiting agencies/individual recruiters with whom it does not have a prior written agreement. Archer reserves the right to make use of any unsolicited resumes that it receives and bears no responsibility for payment of any fees asserted from the use of unsolicited resumes. If you are a recruiting agency or individual recruiter wishing to do business with Archer, please reach out to People@archer.com. All employment processes are managed by the Archer People Team.
Ready to apply?
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AI Training Infrastructure Engineer – Humanoid Whole Body Control
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Figure is an AI Robotics company autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. We are based in North San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.
We’re looking for an engineer to own the training and deployment backbone behind our RL-based whole-body control systems. This role sits at the intersection of robotics, machine learning, controls, and software systems engineering, and is critical to how quickly we can iterate, train, and deploy new capability to our fleet of humanoid robots.
Key Responsibilities:
- Own and scale the infrastructure used to train whole-body control policies (simulation, data pipelines, orchestration, visualizations)
- Design systems that are fast, reliable, and highly configurable for our controls engineers
- Ensure high cluster utilization and minimal downtime—unblocking the team and accelerating iteration cycles
- Evaluate and integrate physics engines, simulation environments, and parameterizations to balance realism and training speed
- Optimize hyperparameters and infrastructure to maximize training speed and efficiency and final model performance
- Build robust tooling to take policies from training → validation → deployment on hardware
Requirements:
- Strong software engineering fundamentals with production experience in Python and PyTorch
- Experience building or scaling training infrastructure for robotics, control systems, or large-scale ML workloads
- Familiarity with physics simulation tools such as NVIDIA PhysX, MuJoCo, Warp, or PyBullet
- Working knowledge of dynamics, controls, and robotics systems
- Experience with reinforcement learning, imitation learning, or policy distillation
- Strong ownership mindset—you own systems that your teammates rely on every day
- Experience modeling contact interactions and photorealistic simulation environments for complex manipulation tasks
Bonus Qualifications:
- Experience with humanoid or legged robot control
- Background in distributed systems, job schedulers, or cluster management
- Experience deploying ML models or control policies to real-world systems
The US base salary range for this full-time position is between $200,000 and $300,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the role
We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.
What You'll Be Doing
- Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second.
- Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance.
- Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs.
- Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs.
- Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies.
We’re excited if you have - 5+ years of experience building software solutions to concrete problems
- Strong CS fundamentals. Should be able to write an algorithm with ease
- You are fluent with one of high-level programming languages like Java, Scala, Kotlin or Python
- We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
- Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
- AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
- MS in Computer Science or related field
#LI-NK1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Apply to Roku
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.
Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Modeling to design and advance the core model architectures and learning approaches that enable perception, reasoning, and action in embodied systems.
This role focuses on developing new modeling approaches across vision, language, and action—spanning representation learning, multimodal fusion, and model capabilities that directly impact robot intelligence.
Responsibilities
- Design and develop model architectures for perception, reasoning, and action across multimodal inputs (e.g., vision, language, proprioception)
- Build models that learn structured representations of the world, including objects, dynamics, and interactions
- Advance multimodal learning approaches, including fusion, alignment, and cross-modal reasoning
- Improve model capabilities in areas such as generalization, robustness, and long-horizon reasoning
- Work across the model lifecycle, from initial research and prototyping to training and deployment
- Collaborate closely with pretraining, video, generative, RL, and robot learning teams to integrate modeling advances into the full autonomy stack
- Design experiments and evaluation frameworks to understand model behavior and guide iteration
- Contribute to the development of new modeling paradigms for embodied AI systems
Requirements
- Experience designing and training deep learning models for vision, language, or multimodal systems
- Strong understanding of modern model architectures (e.g., transformers and related approaches)
- Experience improving model performance through architectural innovation and experimentation
- Proficiency in Python and deep learning frameworks such as PyTorch
- Strong experimental rigor and ability to iterate on model design and performance
- Solid software engineering skills and ability to build reliable, maintainable systems
- Ability to operate independently and drive ambiguous, high-impact technical problems
Bonus Qualifications
- Experience with multimodal models (vision-language or vision-language-action systems)
- Background in representation learning, world models, or structured prediction
- Experience working on frontier models at companies such as OpenAI, Google DeepMind, Anthropic, Meta, or xAI
- Familiarity with embodied AI, robotics, or real-world ML systems
- Experience with large-scale training or distributed systems
- Publication record in machine learning, computer vision, NLP, or multimodal AI
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.
Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Reinforcement Learning to develop learning systems that enable robots to acquire skills through interaction, feedback, and experience.
This role focuses on applying and advancing reinforcement learning across simulation and real-world environments—improving policy performance, robustness, and long-horizon decision-making in embodied systems.
Responsibilities
- Design and implement reinforcement learning algorithms for embodied agents operating in real-world and simulated environments
- Train policies that learn from interaction, feedback, and large-scale experience across diverse tasks
- Develop reward modeling, credit assignment, and exploration strategies for complex, long-horizon behaviors
- Improve policy robustness to real-world challenges such as noise, partial observability, and environment variability
- Work across online and offline RL settings, including learning from large-scale logged robot data
- Collaborate closely with pretraining, video, generative, agent, and robot learning teams to integrate RL into the full autonomy stack
- Build scalable training systems for RL, including distributed rollouts, simulation infrastructure, and experiment management
- Design evaluation frameworks to measure policy performance, stability, and generalization
Requirements
- Experience developing and applying reinforcement learning algorithms in complex environments
- Strong understanding of RL fundamentals (e.g., policy optimization, value methods, model-based RL)
- Experience training policies in simulation and/or real-world systems
- Proficiency in Python and deep learning frameworks such as PyTorch
- Experience with large-scale experimentation and distributed training systems
- Strong experimental rigor and ability to diagnose and improve learning systems
- Solid software engineering skills and ability to build scalable, reliable systems
- Ability to operate independently and drive ambiguous, high-impact technical problems
Bonus Qualifications
- Experience applying RL to robotics, control systems, or embodied AI
- Experience with large-scale RL infrastructure (distributed rollouts, simulation at scale)
- Background in offline RL, imitation learning, or hybrid learning approaches
- Experience with reward modeling or human-in-the-loop learning
- Experience at leading AI labs such as OpenAI, Google DeepMind, Anthropic, or xAI
- Familiarity with robotics systems, simulation environments, or real-world deployment constraints
- Publication record in reinforcement learning, machine learning, or robotics
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.
Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Pretraining to build large-scale foundation models that learn from diverse data sources including text, images, video, and robot-collected experience.
This role focuses on advancing pretraining methods that enable generalization, reasoning, and adaptability—forming the backbone for downstream capabilities in perception, planning, and action.
Responsibilities
- Design and train large-scale foundation models across multimodal data (e.g., text, vision, and robot data)
- Develop pretraining strategies that improve generalization, reasoning, and transfer to downstream embodied tasks
- Explore and implement architectures including transformer-based and emerging foundation model paradigms
- Work on scaling laws, dataset mixture design, and training dynamics for frontier models
- Build and optimize large-scale distributed training pipelines across multi-node GPU clusters
- Collaborate closely with video, generative, agent, and robot learning teams to integrate pretrained models into the autonomy stack
- Design evaluation frameworks to measure reasoning ability, robustness, and cross-domain generalization
- Contribute to post-training approaches including fine-tuning, alignment, and model adaptation
Requirements
- Experience training large-scale foundation models or working on pretraining for LLMs or multimodal systems
- Strong understanding of modern deep learning architectures, especially transformers
- Experience with large-scale distributed training and optimization
- Proficiency in Python and deep learning frameworks such as PyTorch
- Strong experimental rigor and ability to iterate on model design and training strategies
- Solid software engineering skills and ability to build scalable, reliable systems
- Ability to operate independently and drive ambiguous, high-impact technical problems
Bonus Qualifications
- Experience working on frontier foundation models at companies such as Anthropic, OpenAI, Google DeepMind, or xAI
- Experience with multimodal pretraining (vision-language or vision-language-action models)
- Background in scaling laws, dataset curation, and large-scale data mixture optimization
- Experience with post-training techniques such as RLHF, reward modeling, or alignment methods
- Familiarity with embodied AI, robotics, or real-world deployment constraints
- Publication record in machine learning, NLP, or multimodal AI
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.
Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Video Pretraining to lead the development of large-scale video foundation models trained on diverse real-world and robot-collected data.
This role focuses on pretraining models that learn from raw video—capturing motion, interaction, and temporal structure—to enable downstream capabilities in perception, prediction, and embodied reasoning.
Responsibilities
- Design and train large-scale video foundation models on diverse datasets spanning internet-scale video and robot-collected data
- Develop pretraining strategies that capture temporal dynamics, motion, and object interaction from raw video sequences
- Build models that learn transferable representations for downstream tasks such as perception, tracking, prediction, and control
- Explore architectures for video understanding and generation, including transformer-based and diffusion-based approaches
- Implement efficient data pipelines and training strategies for high-throughput video ingestion and large-scale distributed training
- Optimize model performance across compute, memory, and training efficiency constraints
- Collaborate closely with generative modeling, agent, and robot learning teams to integrate pretrained models into the autonomy stack
- Design evaluation frameworks and benchmarks to measure temporal understanding, prediction quality, and generalization
Requirements
- Experience training large-scale models on video data or other high-dimensional sequential modalities
- Strong understanding of modern deep learning architectures for video, vision, or multimodal systems
- Experience with large-scale pretraining, including dataset curation, training dynamics, and scaling laws
- Proficiency in Python and deep learning frameworks such as PyTorch
- Experience working with distributed training systems and large GPU clusters
- Strong experimental rigor and ability to iterate quickly on model design and training strategies
- Solid software engineering skills and ability to build scalable, reliable systems
- Ability to operate independently and drive ambiguous, high-impact research directions
Bonus Qualifications
- Experience working on frontier video models or multimodal foundation models
- Background in video diffusion, autoregressive video modeling, or world models
- Experience at leading AI labs such as OpenAI, Google DeepMind, Google, ByteDance, Midjourney, or Adobe
- Experience with large-scale dataset construction and filtering for video pretraining
- Familiarity with robotics, embodied AI, or learning from egocentric / first-person video
- Publication record in machine learning, computer vision, or multimodal AI
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration.
Our Helix team is responsible for developing the core AI systems that power humanoid autonomy. We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on training and deploying diffusion and generative models across vision, video, and multimodal domains, with applications spanning perception, data generation, and model-based reasoning.
Responsibilities
- Design, train, and deploy large-scale generative models, with a focus on diffusion-based approaches for vision, video, and multimodal data
- Develop models that improve robot perception, world modeling, and prediction from raw sensory inputs
- Build generative systems for synthetic data creation, augmentation, and dataset scaling for robot learning
- Explore and implement state-of-the-art techniques in diffusion, generative modeling, and multimodal foundation models
- Optimize training pipelines for large-scale generative models across distributed systems
- Work closely with data, training infrastructure, and agent teams to integrate generative models into the full autonomy stack
- Evaluate model quality, robustness, and generalization across real-world scenarios
- Contribute to the design of scalable experimentation frameworks for generative model development
Requirements
- Experience training and deploying generative models (diffusion, autoregressive, or related approaches) at scale
- Strong understanding of modern deep learning techniques for vision and/or multimodal systems
- Proficiency in Python and deep learning frameworks such as PyTorch
- Experience working with large-scale datasets and distributed training systems
- Strong experimental rigor and ability to iterate quickly on model performance
- Solid software engineering skills and ability to build reliable, maintainable systems
- Ability to operate independently and own ambiguous, high-impact technical problems
Bonus Qualifications
- Experience with diffusion models for image or video generation
- Experience with multimodal foundation models (vision-language or vision-language-action)
- Background in synthetic data generation or simulation for robotics or embodied AI
- Experience optimizing large-scale training (multi-node, GPU clusters, etc.)
- Familiarity with 3D, video prediction, or world models
- Prior work in robotics, embodied AI, or real-world ML systems
- Publication record in machine learning, computer vision, or generative modeling
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system.
Responsibilities
- Design, deploy, and maintain Figure's training clusters
- Architect and maintain scalable deep learning frameworks for training on massive robot datasets
- Work together with AI researchers to implement training of new model architectures at a large scale
- Implement distributed training and parallelization strategies to reduce model development cycles
- Implement tooling for data processing, model experimentation, and continuous integration
Requirements
- Strong software engineering fundamentals
- Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
- Experience with Python and PyTorch
- Experience managing HPC clusters for deep neural network training
- Minimum of 4 years of professional, full-time experience building reliable backend systems
Bonus Qualifications
- Experience managing cloud infrastructure (AWS, Azure, GCP)
- Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
- Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure
AI Extern
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Who are we and why should you join us?
BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.
As an AI Extern at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.
What are we looking for?
BetterHelp is looking for an AI Extern to help us scale and increase our impact. You will use data to drive insight into the product and business. The ideal candidate would have experience/exposure to analyzing large and complex data sets related to web products. You'll be doing plenty of data wrangling and post-hoc analysis, both to support product improvements, marketing efficiency, and business decisions.
What will you do?
- Language Model Optimization: Engage in the refinement and enhancement of language models, including fine-tuning and retraining to meet specific requirements.
- Cross-Functional Collaboration: Actively collaborate with the product and development teams to conceptualize and design effective machine learning models and algorithms tailored to our products' needs.
- Product Enhancement Partnership: Work closely with product managers, initiating and implementing proactive strategies to elevate the functionality and user experience of our products.
- Data Handling Expertise: Handle extensive text data, demonstrating proficiency in managing, analyzing, and deriving insights from large datasets.
- Coding for Production: Develop and maintain production-ready code, ensuring robustness and efficiency. Collaborate with the DevOps and ML-Ops teams to integrate machine learning models seamlessly into production environments.
- Database Proficiency: Write and optimize SQL queries, showcasing your ability to interact with and manipulate databases effectively.
- Team Dynamics and Impact: Thrive in a team-oriented environment, contributing positively to the team spirit. Enjoy a fun and dynamic work culture while taking pride in developing a world-class product that significantly impacts people's lives
What will you NOT do?
- You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
- You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
- You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
- You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.
Can I work remotely?
Yes. We operate on PST and candidates in any time zone are welcome to apply.
Requirements
- Currently enrolled in or recently graduated from a Master’s or PhD program in a quantitative discipline such as Computer Science/Engineering, Statistics, Mathematics,Operations Research, or Engineering
- Completed coursework in NLP and LLM
- Deep understanding of neural networks and deep learning and generative AI
- Familiarity with reinforcement learning
- Experience building predictive models and causal inference models
- Familiarity with generative AI
- Experience analyzing large and complex data sets
- Experience using tools like Pytorch (preferably) or Tensorflow
- Excellent communication skills, with the ability to simplify complex topics and communicate technical ideas to non-technical audiences
Bonus (Great to have but not required)
- Experience analyzing two-sided marketplaces
- Experience with B2C, marketplace products
- Experience with BI tools like Tableau and Looker
- Experience with inference models
Benefits
- The chance to build something that changes lives – and that people love
- An awesome community of co-workers
- Meaningful projects: Apply your education to real-world challenges through hands-on, impactful work that is both rigorous and rewarding.
- Growth & development: Expand your skills through mentoring, job shadowing, lunch & learns, and hands-on project work that supports your personal and professional growth.
- Dedicated support: Benefit from a manager and mentor who will provide ongoing guidance and support throughout your internship.
The hourly rate for this position is $50 - $60 per hour.
At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.
Ready to apply?
Apply to BetterHelpHelix AI Engineer, Robot Learning
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
We are looking for a Helix AI Engineer, Robot Learning with a strong robotics learning background to help develop and improve our visuomotor manipulation policies, with a heavy emphasis on real-robot deployment.
Responsibilities
- Design, train, evaluate, and deploy learning-based visuomotor policies for humanoid robot manipulation
- Develop manipulation behaviors such as grasping, pick-and-place, object reorientation, door opening, bimanual manipulation, and basic assembly
- Apply and extend techniques including behavior cloning, reinforcement learning, and VLA reasoning
- Train models that are robust to real-world challenges such as sensor noise, partial observability, contact dynamics, and environment variability
- Own the full pipeline from data collection on real robots to model training, evaluation, and deployment
- Work closely with simulation and digital twin tooling where useful, while prioritizing real-world performance and transfer
- Collaborate with perception, controls, systems, and hardware teams to integrate policies into a full autonomy stack
- Evaluate tradeoffs between learning-based and classical approaches and make principled design decisions
- Write high-quality, well-tested software that ships to and runs reliably on physical humanoid robots
- Partner with integration and testing teams to continuously improve robustness, performance, and deployment velocity
Requirements
- Hands-on experience developing and deploying robot learning systems on real robots
- Strong background in robot manipulation and visuomotor control
- Experience with behavior cloning, reinforcement learning, or related learning-based manipulation methods
- Proficiency in Python and/or C++ for robotics and ML systems
- Experience with modern deep learning frameworks (e.g., PyTorch)
- Ability to design experiments, analyze failures, and iterate quickly in real-world robotic systems
- Solid understanding of the tradeoffs between classical robotics approaches and learning-based methods
- Thrive in fast-paced, ambiguous environments where solutions require exploration and ownership
Bonus Qualifications
- Experience deploying learning-based manipulation systems in commercial or production robotic systems
- Prior work on humanoids or highly dexterous robotic platforms
- Publication record in robot learning, manipulation, or embodied AI
- Experience leading projects or mentoring other engineers
- Passion for building autonomous humanoid robots that operate in the real world
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure
Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method—reinforcement learning from human expression (RLHE)—learns human preferences from behavior in millions of audio and video recordings, making SLMs superhumanly helpful, interesting, funny, eloquent, honest, and altruistic. Join us in the heart of New York City and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century.
About Us
Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. We’re gearing up to launch the next generation of Octave and EVI, our foundational speech-language models for voice generation and powering real-time empathic AI assistants for any application.
Our models understand and generate subtle tones of voice, word emphasis, and more and the reactions of users. They are rated higher than models by OpenAI and others on empathy, expressiveness, naturalness, and speed, instantly speak with 100K+ unique voices and styles, stream language, emotion, and reasoning – all at once, and are fast enough to feel truly conversational (<300ms latency). Try them at hume.ai.
Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in WIRED, Forbes, and Venturebeat.
About the Role
We are looking for talented researchers with relevant publications, 2+ years of experience in a research role in industry, and/or a proven track record of contributions to open source language, audio, or video models. (A PhD is neither necessary nor sufficient.) In this role, you will build out software systems that support distributed model training, inference, and benchmarking as well as massive-scale data collection, storage, preprocessing, and analysis. You will be working to solve some of today’s most exciting AI research problems at industry scale.
Requirements
-
Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch)
-
Experience writing robust and maintainable production-ready code
-
Comfort iterating quickly on new and uncertain research directions
- 2+ years of experience contributing to the training and/or fine-tuning of models with large-scale datasets of text, audio, image, and/or video data (predictive or generative)
Application Note
Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered.
Ready to apply?
Apply to Hume AI
Hume AI is seeking talented researchers and engineers interested in working with our AI research team to build state-of-the-art speech-language models (SLMs). Our new SLM training method—reinforcement learning from human expression (RLHE)—learns human preferences from behavior in millions of audio and video recordings, making SLMs superhumanly helpful, interesting, funny, eloquent, honest, and altruistic. Join us in the heart of New York City and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century.
About Us
Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. We’re gearing up to launch the next generation of Octave and EVI, our foundational speech-language models for voice generation and powering real-time empathic AI assistants for any application.
Our models understand and generate subtle tones of voice, word emphasis, and more and the reactions of users. They are rated higher than models by OpenAI and others on empathy, expressiveness, naturalness, and speed, instantly speak with 100K+ unique voices and styles, stream language, emotion, and reasoning – all at once, and are fast enough to feel truly conversational (<300ms latency). Try them at hume.ai.
Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in WIRED, Forbes, and Venturebeat.
About the Role
We are looking for talented researchers and engineers. In this role, you will build out software systems that support distributed model training, inference, and benchmarking as well as massive-scale data collection, storage, preprocessing, and analysis. You will be working to solve some of today’s most exciting AI research problems at industry scale.
Requirements
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Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch)
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Experience writing robust and maintainable production-ready code
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Comfort iterating quickly on new and uncertain research directions
- 2+ years of experience training and/or fine-tuning transformer models with large-scale datasets of text, audio, image, and/or video data
Application Note
Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied within the past 6 months, only your initial submission will be considered.
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Apply to Hume AI