What is the opportunity?
Lead and enable successful program delivery through active engagement, collaboration, and accountability. This includes:

• Driving delivery excellence across teams by fostering a hands-on, solution-oriented culture.
• Acting as a bridge between technical and business stakeholders, ensuring alignment on goals, outcomes, and timelines.
• Championing the customer experience by anticipating challenges, resolving issues proactively, and ensuring smooth execution through all phases of delivery.
• Strengthening internal capability by mentoring and coaching team members, building shared understanding of our delivery model, and embedding best practices.
• Reinforcing Zafin’s commitment to partnership - with customers, internal teams, and ecosystem stakeholders - through collaboration, transparency, and technical credibility.
• Promoting continuous improvement in how we plan, communicate, and execute, at every stage

What will you do?

Program Leadership & Delivery

• Lead cross-functional teams (internal and customer) in end-to-end delivery of complex programs.
• Facilitate collaborative working sessions to co-create solutions, resolve issues, and drive shared ownership.
• Ensure program objectives, deliverables, and timelines are met with a focus on quality and customer satisfaction.
• Engage during critical delivery periods (including evenings and weekends as needed) to maintain continuity and support.

Customer Experience & Engagement

• Serve as a trusted advisor to customer stakeholders, ensuring their priorities are clearly understood and addressed.
• Partner with support and operations teams to ensure rapid issue resolution and a seamless customer experience.
• Represent the voice of the customer internally to influence continuous product and process improvement.

Technical Understanding & Continuous Improvement

• Maintain a strong grasp of Zafin’s products, architecture, and delivery model to ensure informed decision-making.
• Collaborate with technical leads to identify opportunities to strengthen delivery processes, tooling, and integration.
• Encourage innovation and knowledge-sharing across teams to enhance delivery capability.

Team Leadership & Collaboration

• Build a high-performance environment through mentorship, feedback, and empowerment.
• Drive collaboration across business, delivery, and technical streams to align on outcomes and mitigate risks early.
• Foster a culture of accountability, learning, and shared success.

Governance & Reporting

• Provide clear, concise reporting to stakeholders on status, risks, and issues.
• Ensure governance frameworks are applied consistently and adapted as needed to support program success.

What do you need to succeed? 
Must have: 

• Minimum of 10 years in banking or financial services with a focus on corporate and institutional clients.
• Solid understanding of business concepts and issues, preferably in banking, core banking, core modernization, pricing & billing, in retail and/or corporate and commercial banking.
• Hands-on experience in implementing enterprise-level banking software solutions.
• Demonstrated leadership skills with the ability to inspire and motivate teams to achieve goals.
• Excellent communication, negotiation, and problem-solving skills.
• Proven track record of delivering results in a fast-paced, dynamic environment.
• Knowledge of relevant industry regulations, compliance requirements, and quality standards.

Additional Job Details

• Expected Salary: $150,000 - $180,000
• Vacancy Status: Open Position to be filled
• Mode of Work: Hybrid
• Use of AI: Zafin may use Artificial Intelligence (AI) and/or other forms of automated technology to screen and/or assess applicants for this position. Zafin will not utilize AI for conducting interviews and/or making hiring decisions. 
• This role is also eligible for benefits including health, dental, vision, retirement plans, and paid time off.

About the Role:

The Labeling team delivers algorithms, tools and infrastructure to provide data labels that can be used by Perception, Motion Planning, and other ML teams for training and evaluation. They work closely with manual labeling efforts and infrastructure teams to create a data centric ecosystem needed to develop real time, safety critical ML models for autonomous driving. 

We are looking for a Labeling Analyst to review and ensure a high quality of labels delivered to our Autonomy teams. The job entails operating internal and third party tools to visualize labels and checking if they meet our quality and labeling standards. The Labeling Analyst will also collaborate across operational and technical teams to identify and correct issues and support other labeling related tasks as needed.

Responsibilities:

• Review labels using internal and third party tooling to identify defects, mis-labeled or unlabeled items.
• Perform high-precision mapping and spatial data annotation activities crucial for autonomous vehicle navigation, utilizing proprietary tooling.
• Update issue trackers based on defects found, summarize findings and write reports.
• Follow up with internal and third party partners to resolve quality issues.
• Participate in defining requirements for, testing, and creating user documentation for internal label editing and review tooling.
• Help with other tasks such as selecting suitable logs for labeling and generating analytics on the QA process.
• Partner with engineering teams to define requirements for, test, and create user documentation for new proprietary labeling and mapping tools.

Qualifications: 

• Computer literacy and operate web based tools.
• Ability to work with Google docs, spreadsheets, write summary reports and aggregate statistics using Google Sheets.
• Ability to take high level acceptance criteria guidance and follow it to execute on label review.
• Ability to work in a highly collaborative, team environment across a variety of functional domains, both operational and technical.

Company Name: Hellbender Inc.

Job Title: Robotics Engineering Internship

Department: Engineering

Report to: Engineering Manager 

Who we are:

Hellbender Inc. is a Pennsylvania Benefit Corporation who partners with innovators to mature their Artificial Intelligence enabled computing sensors and produce their solutions onshore at prototype to high volumes.

Hellbender is intentionally forming an inclusive work environment and is committed to uplifting the historically marginalized identities including veterans, women, trans and non-white races in our community and industry.        

Job Summary: 

At Hellbender, you will have the opportunity and responsibility to generate innovative solutions
to address unique issues on a variety of real world problems. As an intern, you will have the
same autonomy as our junior engineers and the mentorship of our senior staff. Our program is
designed to teach you the full product development life cycle and the work will take you back
and forth from the white board to the automated manufacturing line. The coding will consist of
Real-Time/Object Oriented C, C++, and Python development in an embedded Linux
environment.

Eligibility Requirements
An ideal candidate would have prior internship experience at a manufacturing or engineering
based organization. We accept college masters and PhD level students.

Please note that this is a full time, on-site position.

• 3.0 or higher cumulative GPA preferred
• Enrolled in an accredited U.S. college or university
• Classification as a graduate student (master’s or doctoral level)
• Must be authorized to work in the U.S.
• Must be willing to work onsite

Essential Duties and Responsibilities:

• Working on embedded platform software in a Linux-based environment
• Writing event-driven and asynchronous applications primarily in C, C++ and Python
• Writing software that communicates with and controls other devices over interfaces
  including CAN, UART, I2C, SPI and others
• Using oscilloscopes, protocol analyzers, multimeters, and other tools for electronic
  diagnostics
• Define requirements for specific functionality and coordinate with hardware, software
  manufacturing teams
• Demonstrate proficiency in data analysis, programming, and software engineering

Work Location: UPARC Pittsburgh

Opportunity for advancement: 

Hellbender is a growing business and follows a policy that prioritizes internal promotions. As new positions are created new opportunities for advancement will be created as well.

About the Role:

As a Senior Software Engineer on the Tracking Team, you will drive the delivery of both classical and machine learning solutions to core tracking challenges within our self-driving system. A central function of the tracking team is the real-time, temporally consistent estimation of the local scene (including actors, obstacles, and map features) based on a history of sensor data. In this role, you will be instrumental in the design and delivery of algorithms and models that run onboard the AV, evaluating the perception system's performance against production requirements, and contributing to the long-term technical vision of the team.

Responsibilities:

• Work in a team to deliver state-of-the-art closed- and open- world tracking systems for L4 self-driving vehicles.
• Contribute to the technical direction of the tracking team and broader perception org.
• Write robust software for real-time, resource-constrained, safety-critical applications.
• Drive highly cross-functional features and work streams from problem statement to delivery.
• Proactively identify limitations with the existing perception system and drive improvements.
• Root-cause issues that arise onboard, and provide solutions.
• Align stakeholders with strong presentation and communication skills.
• Lead challenging technical topics and build consensus.

Qualifications: 

• Experience architecting, training, and deploying ML models into real-world environments.
• Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
• Experience delivering perception/tracking solutions for real-time robotic applications.
• Knowledge and experience employing advanced probabilistic algorithms to solve problems involving uncertain inputs and imperfect models.
• Strong experience in software engineering and algorithm design.
• Fluency in Python and C++.

About the Role:

The Dynamic World Perception team is responsible for real-time detection of road actors and properties. This includes developing occupancy networks and other perception algorithms to accurately identify and classify all dynamic elements within the driving environment. We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded.

Responsibilities:

• Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities.
• Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range.
• Contribute to improvement of model frameworks, architecture, and data pipelines.
• Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments.
• Drive highly cross-functional features and workstreams from problem statement to delivery.
• Contribute to the technical direction of the team and broader perception org.
• Align stakeholders with strong presentation and communication skills.
• Lead challenging technical topics and build consensus.

Qualifications: 

• Extensive experience architecting, training, and deploying deep learning models into real-world environments.
• Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization.
• Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications. Prior experience in sensor fusion is highly desirable.
• Strong experience in software engineering and machine learning algorithm design.
• Fluency in Python.
• Experience with C++.

About the Role:

As a Labeling Infrastructure Backend Engineer, you will design, build, and scale the mission-critical systems that power our data flywheel. You will be responsible for the high-performance architecture that manages massive datasets, orchestrates complex human-in-the-loop workflows, and integrates seamlessly with our machine learning pipelines. Your work ensures that our labeling operations are fast, reliable, and capable of handling the next order of magnitude in data volume.

• Architect Scalable Systems: Design and maintain robust, distributed backend services capable of managing millions of labeling tasks and high-throughput data streams with minimal latency.
• Optimize Data Pipelines: Build and refine processes to ingest raw data from diverse sources and deliver high-quality labeled outputs to model training environments.
• ML Integration: Implement "Active Learning" and "Model-in-the-loop" features, enabling automated pre-labeling and intelligent task prioritization to maximize human efficiency.
• API Development: Develop and document clean, performant APIs that serve as the bridge between our front-end labeling tools, third-party vendors, and internal ML platforms.
• Infrastructure & DevOps: Manage cloud-native infrastructure to ensure 99.9+% availability, focusing on observability, automated scaling, and cost-efficiency.
• Cross-Functional Collaboration: Partner with AI team and Product Managers to translate complex data requirements into technical specifications and durable backend solutions.

Responsibilities:

• Play a key role in designing and building the next generation of Stack’s Labeling Infrastructure.
• Implement robust architecture to track the lifecycle of every log from unlabeled to production-ready.
• Build scalable backend services for automated QA to and AI-assisted labeling plugins.
• Write high quality Python and SQL.

Qualifications: 

• Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
• Ability to collaborate effectively across teams.
• Strong development experience with Python and SQL.
• Prior experience with Trino, Flyte / Airflow, and Kubernetes are a plus.
• Prior experience with ML Ops workflows is a plus.
• Prior experience building and managing data platforms for multimodal ML needs is a plus.
• Prior experience with agentic workflows is a plus. 
• Prior experience in autonomous vehicles (AV) is a plus.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

This person will own all aspects of product data science, forecasting, and business intelligence for User Growth. They will lead a team of 6 to 10 data scientists spanning staff to junior levels, with a mandate to coach, develop, and grow their careers while also expanding the team by hiring exceptional talent over time. The ideal candidate combines deep technical fluency in causal inference, statistical/ML modeling, and experimentation with genuine leadership ability: the kind of person who raises the bar for everyone around them.

This role reports to the Head of Data Science & Analytics and partners closely with executive leadership in Engineering, Product, Design, and Finance.

🧠  You will...

• Set the analytical vision and roadmap for User Growth data science, ensuring the team's work is tightly aligned with company-level priorities and pillar-level goals.
• Lead a team of 6 to 10 data scientists. Manage their performance, coach their development, and build a culture of intellectual rigor, creative problem-solving, and shipping impact. Grow the team over time by attracting and hiring outstanding talent.
• Own the design, execution, and interpretation of experiments and causal analyses that drive decisions on user acquisition, activation, retention, and reengagement. Establish and defend the methodological standards (A/B testing, guardrail metrics, measurement frameworks) that ensure we learn reliably from every test.
• Develop and maintain user growth forecasting systems. Partner with Finance and Product to deliver credible, timely forecasts of key growth metrics and ensure leadership has the quantitative foundation to set targets and allocate resources.
• Drive business intelligence strategy within Growth, including the metrics layer, self-serve dashboards, and the analytical infrastructure that enables the broader team to operate with data fluency.
• Translate complex analytical findings into clear narratives for senior leadership. Influence strategic decisions through a combination of technical depth and effective communication.
• Collaborate across organizational boundaries with Product Management, Engineering, Design, Marketing, and Finance to embed data science into every phase of product development.
• Stay current on advances in applied economics, statistical methodology, machine learning, and AI, and bring those advances into the team's practice where they create real value.

✅  You have...

• A graduate degree in Economics, Statistics, Computer Science, Data Science, or a related quantitative field. A PhD is a strong signal but not a strict requirement; what matters is demonstrated depth and originality in analytical thinking.
• Deep expertise in causal inference, experimentation, and machine learning models. You are the person others come to when the measurement problem is hard.
• Proven ability to build, lead, and grow a high-performing data science team. You have a track record of hiring well, developing people across levels, and creating an environment where talented scientists do the best work of their careers.
• Strong command of SQL, Python or R, and the data engineering ecosystem. You do not need to write production pipelines, but you need to go deep when the work requires it.
• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for technical and non-technical audiences alike.
• Experience operating at a high-growth, data-intensive consumer technology company.

⭐  Exceptional candidates will have...

• Experience developing and implementing a long-range analytical vision that shaped product strategy and business outcomes.
• Demonstrated success in building forecasting systems or attribution models at scale.
• A background in economics or a related field that brings structural thinking and causal reasoning to product problems, not just pattern recognition.
• Experience navigating the transition from growth-stage to scaled public company, including the analytical demands that come with investor-grade reporting and forecasting.
• Experience with AI and machine learning as applied to user behavior modeling, notification optimization, or personalization.
• An impressive Duolingo streak.

WHO ARE WE?

We Are Squishable! At Squishable, products and people are at the core of why we do what we do every day. We strive to create a customer experience that is based on sharing our love and passion for the brand while building long-lasting relationships with our customers…turning friends into fans. As we experience rapid growth, we are looking for career-driven leaders who are obsessed with creating a unique and exceptional customer experience. We need great people to represent the brand where it matters most…in front of our customers. These leaders will be part of shaping the voice and character of the Squishable store experience.

The ideal candidate will be a natural-born leader who loves the store experience. They will be passionate, driven, and highly organized with a desire to bring happiness to people’s lives. Additionally, they will be confident, creative, bright, friendly, adaptable, and able to consistently perform at the highest level. Candidates must be well-spoken and confident in their ability to interact with people at all levels while remaining calm and organized at all times.

What does a Squishable Retail Sales Lead do?

• Understands organizational objectives and makes decisions in partnership with the Store Manager that align with Company priorities and values
• Enforces sales strategies, initiatives, and growth across all categories
• Productivity Management: holds self and sales team accountable for personal sales
• Acts as a brand ambassador in the local market/mall to drive brand loyalty and business (i.e., charity events, local associations, mall initiatives)
• Solution-oriented and forward-thinking in resolving customer issues; partners with Store Manager and/or District Manager/Regional Manager as appropriate
• Develops both individual and team product knowledge skills to stay up-to-date on all current Squishable in-store products
• ​Assists in supervising the team on a daily, weekly, and monthly basis to meet goals and utilize Company tools; empowers others and encourages individual growth
• Able to provide feedback to others; coaches performance to a higher standard; provides constructive feedback to Store Manager

Other Qualifications:

• Two plus years of relevant supervisor experience in a high-volume, fast-paced, challenging, and creative customer-facing environment.
• Passion for people! A dynamic and engaged leader with a passion for empowering, inspiring, motivating, teaching & developing team members.
• Exceptional organizational and communication skills with the ability to effectively balance priorities and deliver results in a fast-paced, ever-changing, and highly entrepreneurial environment.
• Feedback is a gift! Ability to receive and provide constructive feedback and recognition to every team member, to ensure an open and transparent culture of high-performance standards.
• High emotional intelligence with the ability to work with and manage diverse teams by being highly empathetic, intuitive, self-motivated, and driven.
• Teams Win! Has to be a team player who fosters a collaborative and engaged teamwork environment.
• Willing to work a flexible schedule, including early mornings, nights, overnights, weekends, and holidays as needed
• Proficient with Microsoft Office Suite or related software
• Ability to transport stock as may be required; lifting cartons up to 25 lb.

Benefits/ Perks: 

• Pay rate is $16 an hour
• A fun, welcoming workplace where creativity and personality are encouraged
• Career growth opportunities (many of our Associates and Sales Leads become Store Managers!)
• Employee discounts (yes, even on the giant plushies)
• Dental/Vision Insurance
• 401(k) matching

About us

TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it’s a promise to continually improve healthcare.

TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation’s largest healthcare systems and around the world to positively impact patients, families and communities.

What’s your contribution to the TeleTracking story?

When you chose to bring your passion and skills to helping achieve our purpose, you’ll be part of a team that understands that there’s a human life behind every data point.   Your skills, curiosity, and compassion—will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare. 

About the role

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team at TeleTracking Technologies, focusing on improving patient care. The ideal candidate will have a strong background in developing, deploying, and optimizing machine learning models, as well as expertise in data ingestion and modeling techniques. This role requires a deep understanding of hospital operations, healthcare data, clinical workflows, and regulatory requirements (such as HIPAA or GDPR). The successful candidate will be passionate about leveraging advanced technologies to enhance patient care and operational efficiency. 

What you will do

• Design, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes.
• Build and optimize data ingestion and modeling pipelines as needed
• Utilize domain driven techniques and design patterns to build and contribute to technical
• design.
• Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions.
• Work with large-scale healthcare and hospital datasets including structured data (EHRs, hospital operational data), unstructured data (clinical notes, imaging).
• Ensure data privacy and security, adhering to healthcare regulations such as HIPAA and GDPR, especially when working with sensitive hospital data.
• Mentor junior engineers and data scientists, providing guidance on machine learning techniques, particularly those relevant to hospitals and healthcare systems.
• Monitor, troubleshoot, and enhance the performance of deployed models using MLOps best practices, ensuring they operate effectively in hospital environments.
• Write technical architectural and design documents.

What we look for

• Proven experience in end-to-end design and deployment of machine learning models from ideation to production in healthcare or similar settings.
• Strong programming skills and experience with object or component-oriented development software, one or more of: Python or R, with proficiency in ML frameworks, one or more of: TensorFlow, PyTorch, or Scikit-learn.
• Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments.
• Deep knowledge of a scripting or statistical programming language (Python preferred). Ability to efficiently work with very large datasets and deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
• Assess model performance; train multiple models; carry out tuning.  Run A/B tests on models.
• Comfortable writing complex SQL queries and developing python packages.
• Experience with cloud-based management and hosting, one or more of: AWS, Azure, GCS, CloudFormation, Terraform, or Ansible. Interest in developing services as well as the underlying infrastructure
• Experience with database management system software, one or more of: Oracle, MSSQL, MongoDB, MySQL, DynamoDB, or PostgreSQL. 
• Experience with Version Control Software, one or more of: git, Mercurial, CVS, TFS, or Subversion. 
• Strong understanding and experience executing several software development methodologies and life cycles. Ability to understand and translate business requirements into technical specifications.
• Experience with agile development practices.
• Excellent written and oral communication skills. Adept and presenting complex topics, influencing, and executing with timely / actionable follow-through.
• Strong analytical and problem-solving skills with the ability to convert information into practical training deliverables. Uses rigorous logic and methods to solve difficult problems.
• Knowledge of clinical workflows and hospital operations, and how technology can enhance efficiency and patient care.
• Familiarity with healthcare-specific machine learning challenges, such as data imbalance, longitudinal data, and real-time processing in hospital environments.
• Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.

Education

• Bachelor's degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 7 or more years of experience.
• Master's or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field; 5 or more years of experience. (preferred)

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Service Delivery Manager - Document Image Processing

📍 Pittsburgh, Pennsylvania, United States
On-site

We have an excellent opportunity for an experienced Service Delivery Manager to come grow with our team in Pittsburgh, PA!

We offer a competitive benefits package including offerings of paid time off, paid holidays, medical, dental, vision, legal and life insurance, transit program, referral bonuses, pet insurance, EAP, tuition discounts and a 401K with company match. 

SPS is seeking for a Service Delivery Manager (Document Image Processing) that provides leadership and functions as a working Supervisor by guiding and directing site activities. This position is to sit on-site with our client and oversee multiple sites or projects. The position is responsible for daily lockbox processing activities, service delivery, employee management, overall customer satisfaction, and strict adherence to all policies.  The Service Delivery Manager will play a crucial role in ensuring the smooth and efficient operation of lockbox processing, driving continuous improvement, and maintaining strong client and vendor relationships.

What You'll Do:

In this important operational management role, you will be responsible for managing production, staff, group compliance, and overseeing daily team tasks.

  Daily Operations Management:

•  Lead and manage daily lockbox processing activities

•  Responsible for achieving contractual business results

•  Managing critical and time sensitive Workflows to SLAs

•  Tracking programs to monitor departmental goals and provide trend analysis to management

•  Ensure adherence to company quality standards and continuous improvement initiatives

•  Hold weekly team meetings/Huddles

•  Enable Change - Takes action to drive change and innovation that will transform our business

•  Takes personal ownership to deliver results. Empowers and trusts others in decision making

•  Succession planning is critical to success

  Team Leadership:

•  Responsible for evaluating and improving employee performance to foster a high-performing team

•  Manage individual and departmental goals

•  Provides coaching and development to supervisors and their team members

•  Hold the group accountable to operations goals

  Continuous Improvement:

•  Ensures that required system performance, turnaround time, and service levels are achieved

•  Act as an escalation point for the Client Service team

  Client Service:

•  Ensures that required system performance, turnaround time, and service levels are achieved

•  Act as an escalation point for the Client Service team

•  Standard Operating Procedures: Maintain/update comprehensive process documentation to support operational transparency and consistency

  Testing and Analysis:

•  Conduct regression testing to ensure system stability post-changes, when called upon

•  The Service Delivery Manager will play a crucial role in ensuring the smooth and efficient operation of lockbox processing, driving continuous improvement, and maintaining strong client and vendor relationships.

What We Are Looking For: 

  Required:

•  3-5 years people management experience (equivalent to a supervisor level managing a range of 10-20 staff or manager for a smaller group)

•  3- 5 years project management experience

•  Must have strong background in managing critical and time sensitive Workflows to SLAs.  

          •  Must have lockbox or image document processing experience

•  A positive and professional attitude with a willingness to go above and beyond for our customers.

•  Ability to handle physical duties (carrying and/or moving 40lbs) associated with the job - lifting, bending, etc.

•  To be able to work both independently and being able to perform with minimal direction. 

•  Previous management/ supervisor experiences overseeing 10-20 above employees. 

•  Solid understanding of selling skills. 

•  Exceptional computer skills. 

•  Strong integrity, and solid business ethics. 

   Physical Demands:

•  Fine and/or gross motor skills, including the ability to grasp, lift and/or carry or otherwise move packages on a standard wheeled cart with a load capacity of 60 lbs.

•  Ability to walk, bend, kneel, stand, and/or sit for an extended period of time.

•  Manual dexterity required for operating office machinery (phone, copy machines, binding equipment, etc.).

•  Physically able to talk on the phone and input data simultaneously.

•  Ability to lift or move 40 lbs. or greater frequently.

•  Specific vision abilities required by this job include close vision, distance vision, ability to adjust focus and ability to match or may include detection of differences between colors, including shades of color and brightness.

   Other Duties:

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

This person will own all aspects of product data science, forecasting, and business intelligence for User Growth. They will lead a team of 6 to 10 data scientists spanning staff to junior levels, with a mandate to coach, develop, and grow their careers while also expanding the team by hiring exceptional talent over time. The ideal candidate combines deep technical fluency in causal inference, statistical/ML modeling, and experimentation with genuine leadership ability: the kind of person who raises the bar for everyone around them.

This role reports to the Head of Data Science & Analytics and partners closely with executive leadership in Engineering, Product, Design, and Finance.

🧠  You will...

• Set the analytical vision and roadmap for User Growth data science, ensuring the team's work is tightly aligned with company-level priorities and pillar-level goals.
• Lead a team of 6 to 10 data scientists. Manage their performance, coach their development, and build a culture of intellectual rigor, creative problem-solving, and shipping impact. Grow the team over time by attracting and hiring outstanding talent.
• Own the design, execution, and interpretation of experiments and causal analyses that drive decisions on user acquisition, activation, retention, and reengagement. Establish and defend the methodological standards (A/B testing, guardrail metrics, measurement frameworks) that ensure we learn reliably from every test.
• Develop and maintain user growth forecasting systems. Partner with Finance and Product to deliver credible, timely forecasts of key growth metrics and ensure leadership has the quantitative foundation to set targets and allocate resources.
• Drive business intelligence strategy within Growth, including the metrics layer, self-serve dashboards, and the analytical infrastructure that enables the broader team to operate with data fluency.
• Translate complex analytical findings into clear narratives for senior leadership. Influence strategic decisions through a combination of technical depth and effective communication.
• Collaborate across organizational boundaries with Product Management, Engineering, Design, Marketing, and Finance to embed data science into every phase of product development.
• Stay current on advances in applied economics, statistical methodology, machine learning, and AI, and bring those advances into the team's practice where they create real value.

✅  You have...

• A graduate degree in Economics, Statistics, Computer Science, Data Science, or a related quantitative field. A PhD is a strong signal but not a strict requirement; what matters is demonstrated depth and originality in analytical thinking.
• Deep expertise in causal inference, experimentation, and machine learning models. You are the person others come to when the measurement problem is hard.
• Proven ability to build, lead, and grow a high-performing data science team. You have a track record of hiring well, developing people across levels, and creating an environment where talented scientists do the best work of their careers.
• Strong command of SQL, Python or R, and the data engineering ecosystem. You do not need to write production pipelines, but you need to go deep when the work requires it.
• Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for technical and non-technical audiences alike.
• Experience operating at a high-growth, data-intensive consumer technology company.

⭐  Exceptional candidates will have...

• Experience developing and implementing a long-range analytical vision that shaped product strategy and business outcomes.
• Demonstrated success in building forecasting systems or attribution models at scale.
• A background in economics or a related field that brings structural thinking and causal reasoning to product problems, not just pattern recognition.
• Experience navigating the transition from growth-stage to scaled public company, including the analytical demands that come with investor-grade reporting and forecasting.
• Experience with AI and machine learning as applied to user behavior modeling, notification optimization, or personalization.
• An impressive Duolingo streak.

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Data Services Operations team plays a crucial role in delivering data and analysis that supports development of autonomous systems and features essential for a great ADAS driving experience. Within Data Services Operations, the GIS Services organization at Latitude is the operational backbone and spatial intelligence engine driving our system and its complex relationship with the world and our customers. We go beyond traditional High Definition (HD) map production to build, scale, and operationalize a GIS ecosystem capable of supporting a highly accurate and up-to-date ADAS driving network.

Within this organization, the GIS Platform Team is tasked with building, scaling, and maintaining the robust technological infrastructure that empowers all Latitude stakeholders to easily access, visualize, and exploit spatial data. We are looking for a highly skilled GIS Solutions Analyst (Front-End Support) to lead web application development, design intuitive cartographic templates, and build a seamless "one-stop shop" portal critical to reliable spatial data integration, analysis, and self-service capabilities across the Latitude AI enterprise.

What you’ll do: 

• Infrastructure & Database Management: Develop, optimize, and maintain enterprise spatial databases (specifically Postgres/PostGIS), including schema design, indexing strategies, and performance tuning for high-volume mapping data.
• Performant Geoprocessing: Design, build, and deploy custom Python geoprocessing tools and services that support high delivery velocity, complex vehicle mission routing, and self-service web applications across Latitude.
• Esri Enterprise Administration: Extend the functionality of Esri Enterprise GIS systems by implementing custom data feeds, managing server environments, and ensuring high availability.
• System Optimization: Monitor system performance, troubleshoot storage or network bottlenecks, and proactively implement infrastructure optimizations to support the at-scale global operations.
• Integration & Automation: Implement and maintain CI/CD pipelines and source control practices for geospatial tools, services, and infrastructure deployments.
• Cross-Functional Collaboration: Work closely with the Front-End Solutions Analyst, Operations stakeholders, Spatial Data & Analytics Teams, and Map Engineering to align backend geospatial architecture with business, operational, and delivery needs.
• Best Practices: Establish, document, and promote industry best practices for geospatial data engineering, system design, and backend deployment.

What you'll need to succeed:

• Associate or Bachelor’s Degree preferred.
• Proven experience building, deploying, and tuning relational and spatial databases, with deep proficiency in PostgreSQL and PostGIS.
• Exceptional skills in Python and SQL, specifically for backend geospatial data manipulation, automation, and API development (e.g., ArcPy, GeoPandas, SQLAlchemy).
• Hands-on experience deploying, maintaining, and scaling Esri Enterprise Architecture (Portal, Server, Data Store, Image Server).
• Proficiency in GIS software such as ArcGIS, QGIS, or similar.
• Familiarity with CI/CD workflows, version control (Git), and modern software development lifecycle practices.
• Strong analytical and problem-solving skills with a laser focus on system performance, backend reliability, and infrastructure optimization.
• Excellent communication and teamwork abilities

Nice to have:

• Experience with cloud infrastructure platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) for GIS deployments
• Experience designing and scaling raster services, including modern formats (e.g., Cloud Optimized GeoTIFFs [COG], SpatioTemporal Asset Catalogs [STAC]), and enterprise image service delivery (e.g., Esri Image Server) to support high-volume Imagery Based Production (IBP).
• Experience taking nascent, ground-up GIS backend systems and evolving them into mature, highly performant enterprise architectures.
• Experience with Cloud Data Warehouse platforms such as Big Query or Snowflake.
• Familiarity with high-frequency spatial event data management and streaming architectures. Experience utilizing Elastic-stack technologies (Elasticsearch, OpenSearch) or message brokers (e.g., Apache Kafka) to synchronize real-time vehicle fleet telemetry and rapid map updates at scale.
• Familiarity with open-source GIS server technologies (e.g., GeoServer).
• Previous experience working in an autonomous vehicle (AV), ADAS, or high-definition (HD) mapping environment.

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional’s driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
• Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
• Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
• Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
• Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
• Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.
  
  

What We're Looking For (Must-Haves):

• BS or MS in Computer Science, Machine Learning, or a related field.
• Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
• Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
• Working knowledge of version control, unit testing, and basic software design patterns.
• Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
• A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
• A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.
  
  

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

About the Role:

In the ML Training, our mission is to provide a reliable, scalable, and easy to use training framework for modeling needs of Stack AV. In addition, this team is responsible for the overall developer experience of ML engineers including building tools for testing, validation, and understanding models and the data used to train them. Finally, we are responsible for model optimization and deployment.

Responsibilities: 

• Experience with both ML Platforms and building ML-based applications.
• Experience building scalable, reliable infra at a fast-paced environment working with MLEs on several different modeling teams.
• A deep understanding of design tradeoffs and ability to articulate those tradeoffs and work with others on getting alignment.
• Experience with building ML models or ML infra in the domains of autonomous vehicles, perception, and decision making (desirable but not required).
• Experience with model training, model optimization, or large data processing pipelines.

Qualifications (Preferred): 

• Built an end to end ML model pipeline including components such as logs processing, feature extraction, dataset storage, model configuration management, model training, experiment frameworks, and serving deployment.
• Shipped ML products (NLP, computer vision, recommender systems, etc.) at scale to make business impact.
• Knows how to build appropriate abstractions and tooling to ensure MLEs are able to rapidly iterate on models.
• Prior AV experience

About the Role:

The Perception Architecture team is responsible for tackling complex, cross-cutting issues in Stack AV’s approach to perception development and accelerating our delivery of perception capabilities. Many problems in the self-driving trucking industry are not well represented in the literature, requiring novel approaches or formulations to tackle challenging perception problems for the product.

As a Staff Software Engineer, you will drive the development of foundational ML architecture and systematic approaches to challenging, cross-cutting perception problems to ensure the self-driving system scales robustly and efficiently. This role will work closely with other teams to identify pain points and forward looking challenges, develop novel experiments to define future direction, and collaborate with other AI teams to convert these discoveries into product.

Responsibilities:

• Contribute to the technical direction of the Perception Architecture team and the broader perception organization.
• Design and develop core machine learning components and architectures that enable the perception system to scale and reliably address complex, long-tail driving scenarios.
• Drive the initial implementation and prototyping of key architectural decisions, such as handling long tail challenges or long range detection.
• Contribute to the improvement of model frameworks, architecture, and data pipelines to eliminate development bottlenecks and accelerate model iteration.
• Lead challenging technical topics and build consensus across sister teams (e.g., dynamic world, static world) and stakeholders to ensure autonomy-wide alignment.

Qualifications:

• BS (with 6+ years of experience), MS (with 5+ years of experience), or PhD (with 3+ years of experience) in a perception-related field, such as Robotics, Computer Vision, or Machine Learning.
• Extensive experience architecting, training, and deploying deep learning models into real-world, safety-critical environments.
• Track record of driving applied research or engineering projects from conception and experimentation to successful productization.
• Strong experience in software engineering, machine learning algorithm design, and building data/metrics pipelines for ML development.
• Fluency in Python and hands-on experience with C++.
• Experience delivering detection, segmentation, tracking, or other perception solutions for real-time robotic applications, with prior experience in sensor fusion being highly desirable.

About the Role:

The Trajectory Generation and Controls team owns the trajectory generation, optimization and controls components that power how autonomous trucks drive. You are a great fit if you have real world experience with Motion Planning, Optimization and/or Controls, as well as a proven record deploying real-time, safety critical software to production.  In this role you will work in all phases of the software development cycle, from solution design to implementation and deployment. You will collaborate with various teams in Autonomy, Systems Engineering and Operations, fostering a culture of safety, principled engineering and a customer oriented mindset.

Responsibilities:

• Own the delivery of TG&C features from design to integration, providing a well controlled, safe and comfortable vehicle experience.
• Provide input to team roadmaps and ensure timely delivery of features. 
• Work closely with systems engineers to ensure a safe, well tested product is delivered.
• Write state of the art software, using modern C++ and Python. Make extensive use of unit testing, simulation, and log simulation.
• Work closely with other Autonomy teams (Constraint Generation, Trajectory Selection, World Fusion, Prediction, ...) to design and deploy robust solutions, encompassing all aspects of autonomous driving. 
• Be involved in design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.

Qualifications: 

• BS in Computer Science, Electrical Engineering, Mechanical Engineering or closely related field. MS or PhD is a plus.
• 5+ years of software engineering experience. 
• Experience building motion planning and/or control systems for real world applications. Experience with large ground vehicles is a plus.
• Knowledge and experience with vehicle dynamics, system identification and real-time control algorithms. Experience with tooling and metrics is a plus.
• Experience with optimal control or dynamic optimization, especially in the context of model predictive control or real-time trajectory generation.
• Fluent in modern C++.
• Experience with Python.

About the Role:

Triage is a critical operational process used in the development of autonomous vehicles to better understand system performance and identify suboptimal behavior. As a Triage Analyst, you will collaborate with Autonomy and Operations teams in reviewing events of interest, collected from real world driving as well as from simulation, and annotating them with contextual information guided by Stack’s Triage Policy & Guidelines. You will use data visualization tools to annotate events, and categorize them by issue type & priority, per our Triage Policy. Additionally you will assemble and present performance reports on our self-driving system, using Triage data. This role requires the ability to process detailed guideline documentation and utilize various review tools including video, textual, and numerical data to accurately categorize AV events. Experience with 2D/3D visualization tooling, as well as GSuite (Sheets, Docs, Slides) or equivalent is beneficial.

Responsibilities:

• Collaborate with Autonomy and Operations teams to review and annotate events of interest from real-world driving and simulation.
• Annotate events with contextual information, adhering to Stack's Triage Policy & Guidelines.
• Utilize data visualization tools to categorize events by issue type and priority.
• Process detailed guideline documentation and use various review tools (video, textual, numerical data) to accurately categorize AV events.
• Assemble and present performance reports on the self-driving system using Triage data.

Qualifications:

• Strong analytical skills including the ability to understand extensive operational guidelines and apply them to an operational workflow.
• Demonstrated experience working effectively within a team environment in an operational capacity.
• Experience working with data to generate quantitative and qualitative reporting.
• Strong communication skills and the ability to convey complex information in a succinct and effective manner.
• Significant experience working with GSuite type products (Sheets, Docs, Slides).
• Experience as a Triage or Annotation / Labeling Analyst for an AV or Robotics company is preferred.
  

About the Role:

The AI Data Infrastructure team sits between Stack’s data and its engineers. We provide tooling and infrastructure to process petabytes of data per month into actionable insights for ML and autonomy engineers. In particular, we provide data pipelines to run tasks on new data, services and frontend to search for data, and tooling to stream and transform data in our various data storage mediums.

• Data Processing: we are building state of the art infrastructure to support our scaling fleet and ML engineering needs. For this role, you would be responsible for ensuring our processing pipelines are customer friendly, fault tolerant and performant. 
• Data Search: we provide our end users with a platform that combines searching across our metadata stores, vector database, and parts of our data warehouse and then visualize the data (think YouTube). You would be coming in and working with ML and autonomy stakeholders to improve the reliability of the pipelines that feed into our search platform.  
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Stack. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

Responsibilities:

• Play a key role in designing and building the next generation of data infrastructure.
• Build low latency/high throughput, fault tolerant  batch or stream processing systems.
• Build scalable backend services for data search and data curation systems.
• Write high quality Python and SQL.

Qualifications: 

• Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
• Ability to collaborate effectively across teams.
• Strong development experience with Python and SQL.
• Prior experience with Apache Iceberg, Trino, SQLMesh, Flyte / Airflow, and Kubernetes are a plus.
• Prior experience building and managing data platforms for multimodal ML needs is a plus.
• Prior experience with agentic workflows is a plus.
• Prior experience in autonomous vehicles (AV) is a plus.

#LI-AW1

About the Role:

The ML Training Acceleration team is dedicated to increasing Stack AV's product development velocity by accelerating machine learning iterations. Our core mission is to deliver a training system that is reliable, scalable, user-friendly and observable. This involves profiling, optimizing, and fine-tuning our ML models, as well as evangelizing best practices and frameworks among Machine Learning Engineers (MLEs) across the company.

Responsibilities: 

• Analyze ML models to identify and resolve performance bottlenecks.
• Incorporate OSS tools to enable ML engineers self-sufficiently profile and optimize models.
• Deliver solutions to streamline model deployment across various hardware platforms.
• Collaborate with ML researchers to balance model accuracy and speed.
• Implement optimizations using CUDA, Triton, and custom kernels.
• Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team.

Qualifications: 

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Experience: 5+ years of experience (including experience with GPU programming and optimization)
• Technical Skills:
  • Strong programming skills in C++ and Python
  • Proven experience in GPU programming and optimization
  • Familiarity with deep learning frameworks, especially PyTorch
  • CUDA programming
  • Triton language for GPU kernels
  • PyTorch optimization techniques
  • TensorRT implementation
  • ONNX model conversion and deployment
  • Custom GPU kernel development
  • Deep understanding of GPU architectures and performance optimization
• Problem-Solving: Strong analytical and problem-solving skills
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
• Autonomous vehicles (AV) experience is a bonus

About the Role:

In the ML Data Understanding team, our mission is to provide trusted and useful data to efficiently power all of Stack's ML applications end-to-end from mining to training to safety evaluation. We work hand in hand with AV autonomy teams to provide cutting edge solutions to all their data needs, working across data engineering, mining, modeling and infrastructure. In particular, we provide services to find (data mining), curate (datasets), annotate (data labeling), search and serve (high throughput data access) data for all ML needs.

• Data Mining: We are building a framework and infrastructure to find interesting events quickly and flexibly. As part of this mission, you would be setting the direction for and helping us build an inference service using LLMs, open-world models and vector databases.
• Semantic Search for Data Mining: We are building the infrastructure of a highly scalable semantic search service for multimodal data to find interesting events quickly and flexibly. As part of this mission, you would be setting the direction for and helping us build an inference service using the latest AI models & approaches. 
• Dataset management for training: We are building state of the art infrastructure to support machine learning training and inference workloads using OSS components such as Ray, Spark, Lance and Iceberg.

Responsibilities:

• Build state-of-art multimodal data mining and semantic search solutions to power AV product development.
• Develop data understanding platform infrastructure for real-time querying/vector databases and batch/stream processing using technologies like Ray, Spark, Lance, or similar.
• Deliver end-to-end data mining solutions that span onboard (C++) and offboard (ML & Data Infra) infrastructure to accelerate AV product development. 
• Develop e2e solution for real-time semantic search services (text/images/videos) and vector DBs.
• Discover and identify key issues in existing ML infra and proactively improve system performance.
• Build low latency/high throughput batch or stream processing pipelines.
• Drive technical discussions across multiple orgs and deliver solutions on a timely basis.
• Architect and tune ETL pipelines to maximize GPU/CPU/Ram utilization.
• Write readable and high-performance Python/C++ code.

Qualifications: 

• Experience with both ML platforms and building ML-based applications (modeling experience is a bonus).
• Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
• Ability to collaborate effectively across teams.
• Experience building or using ML infrastructure for a large number of customer teams.
• Deep understanding of design trade-offs with the ability to articulate those trade-offs and achieve alignment with others.
• Experience in building ML models or infrastructure in domains such as autonomous vehicles, perception, and decision-making (desirable but not required).
• Experience with model training, model optimization, or large data processing pipelines.
• Prior experience in autonomous vehicles (AV) is a plus.
• 6+ years of experience with:
  • Multimodal data indexing and inference pipelines.
  • Building semantic search service, embedding generation for video/images and vector DB.
  • Large scale ML pipelines (Airflow/Flyte) and model optimization.

About the Role:

Join a high-caliber team of experienced software engineers responsible for delivering some of Stack AV's most foundational technology. The team owns Clockwork, Stack's custom-built, high-performance robotics middleware powering production-grade autonomy applications — as well as StackOS, the operating system that underpins the entire vehicle software stack, and the onboard portion of Deploy Manager, which governs how software is delivered and updated on the vehicle itself. Together, these systems form the critical infrastructure backbone of Stack's safety-critical self-driving platform, operating seamlessly across the vehicle, in simulation, in the cloud, and in HIL testing environments. In this role, you will design, implement, test, and deploy new features and optimizations across this portfolio of systems to extend their capabilities, usability, performance, and reliability.

Responsibilities:

• Design, implement, and maintain StackOS, Stack AV's vehicle operating system, ensuring it meets the reliability and performance demands of a safety-critical autonomy platform.
• Drive the architecture and implementation of the onboard portion of Deploy Manager, ensuring safe, reliable, and efficient software delivery to the vehicle.
• Proactively work with internal customers to design & implement new features from ideation to deployment. 
• Automate processes related to assembling new self-driving vehicles from-scratch, and updating their software on an ongoing basis.
• Continually identify opportunities for improving the performance, reliability, and usability of StackOS and Deploy, evaluating tradeoffs amongst multiple options.
• Partner with safety and validation teams to ensure StackOS and Deploy Manager meet functional safety requirements.
• Ensure delivery of high quality software through the principled and consistent use of best practices including robust automated testing, manual and automated code review.

Qualifications: 

• Strong C++ development experience is required, some Python experience highly preferred
• Expert knowledge of software engineering and algorithm design principles
• Significant experience developing high performance software systems, deployed in resource constrained environments, preferably for safety critical applications
• Expert level understanding of Linux and building Linux distributions via Yocto
• Strong understanding of the POSIX programming environment, Linux, and concurrent programming
• Strong understanding of Networking fundamentals
• Comfortable working with & debugging embedded systems
• Experience working with common tooling such as Bazel, Boost, etc
• Excellent communication skills and ability to work in a team environment
• Domain experience working in autonomous driving, robotics or related industry is highly desired
• Experience with the Nvidia ecosystem and DriveOS, QNX

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. 

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.

About the role...

We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we’re building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable.

🧠  You will...

• Join a full-stack team of frontend, backend and other AI Research engineers, fostering a collaborative and innovative work environment.
• Contribute to the development and training of bandit models and large-scale neural network models.
• Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives.
• Participate in and help drive strategic product and business decision making as a member of the Monetization leadership group. 
• Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects.
• Mentor team members, providing guidance and support in their professional development.
• Ensure the delivery of high-quality, scalable, and efficient machine learning solutions.

✅  You have...

• Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields.
• Strong background in training and fine-tuning large models in an applied setting.
• Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.
• Excellent leadership and communication skills, with the ability to manage and inspire a team.
• Deep understanding of machine learning concepts, frameworks, and best practices.

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

We’re looking for a Senior Talent Attraction Partner to partner closely with our industry-leading recruiting team, driving both outbound and referral talent efforts. In this role, you’ll be on the front lines of identifying, engaging, and inspiring top talent to join our mission.

🧠  You will...

• Partner with Recruiters and Hiring Managers to develop and implement tailored sourcing strategies for high-volume and niche  technical roles, with a key focus on Design and Creative roles..
• Proactively build and maintain a strong pipeline of top-tier technical talent using a mix of outbound sourcing and CRM re-engagement
• Attend intake meetings to deeply understand each role’s requirements
• Conduct recruiter screens to evaluate technical alignment and share calibrated recommendations with the hiring manager.
• Own the creation of market maps and talent intelligence reports that provide total addressable market (TAM) insights, inform sourcing strategies, and help prioritize pipeline efforts.
• Run A/B tests on outreach strategies and continuously iterate to improve candidate funnel performance.
• Balance speed and precision, reaching out to volume at scale without sacrificing personalization or quality of engagement.

✅  You have...

• A minimum of a Bachelor’s degree
• 3+ years of sourcing experience with a focus on quality outbound support for Design and Creative  roles 
• Proven ability to develop and nurture relationships with diverse and hard-to-reach talent pools.
• Proficiency in G-Suite, Greenhouse, and sourcing tools (Gem and SeekOut).
• Fluent in Boolean logic and skilled in CRM re-engagement searches to unlock value from talent communities.
• Excellent time management and organizational skills, with strong attention to detail and a proactive problem-solving mindset.
• Comfortable working in a fast-paced environment and iterating on sourcing strategies as business needs evolve.

⭐  Exceptional candidates will have...

• A data-driven approach that balances speed and precision in candidate engagement.
• Experience reviewing portfolios.
• A long-running Duolingo streak (bonus points 😄).

Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!

At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.

Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. 

Read our blog to learn more.

About the role...

We’re looking for a Senior Talent Attraction Partner to partner closely with our industry-leading recruiting team, driving both outbound and referral talent efforts. In this role, you’ll be on the front lines of identifying, engaging, and inspiring top talent to join our mission.

🧠  You will...

• Partner with Recruiters and Hiring Managers to develop and implement tailored sourcing strategies for high-volume and niche  technical roles, with a key focus on Design and Creative roles.
• Proactively build and maintain a strong pipeline of top-tier technical talent using a mix of outbound sourcing and CRM re-engagement
• Attend intake meetings to deeply understand each role’s requirements
• Conduct recruiter screens to evaluate technical alignment and share calibrated recommendations with the hiring manager.
• Own the creation of market maps and talent intelligence reports that provide total addressable market (TAM) insights, inform sourcing strategies, and help prioritize pipeline efforts.
• Run A/B tests on outreach strategies and continuously iterate to improve candidate funnel performance.
• Balance speed and precision, reaching out to volume at scale without sacrificing personalization or quality of engagement.

✅  You have...

• A minimum of a Bachelor’s degree
• 3+ years of sourcing experience with a focus on quality outbound support for Design and Creative  roles 
• Proven ability to develop and nurture relationships with diverse and hard-to-reach talent pools.
• Proficiency in G-Suite, Greenhouse, and sourcing tools (Gem and SeekOut).
• Fluent in Boolean logic and skilled in CRM re-engagement searches to unlock value from talent communities.
• Excellent time management and organizational skills, with strong attention to detail and a proactive problem-solving mindset.
• Comfortable working in a fast-paced environment and iterating on sourcing strategies as business needs evolve.

⭐  Exceptional candidates will have...

• A data-driven approach that balances speed and precision in candidate engagement.
• Experience reviewing portfolios.
• A long-running Duolingo streak (bonus points 😄).

About Us

Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

You’ll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you’ll collaborate with Product and Business leadership to translate ML capabilities into product value. This is a high-visibility role with a direct line to executive leadership and significant influence over product direction.

About the Role

We are looking for a Director of Machine Learning to define our ML strategy, lead our computer vision organization, and drive the next phase of ML maturity at Gather AI. You will assess existing ML and CV capabilities, identify gaps and opportunities, and establish a clear technical vision for how machine learning will power our warehouse intelligence platform over the next 12–18 months.

The ideal candidate brings deep computer vision expertise, a track record of shipping production ML systems, and the leadership experience to build and scale a world-class ML team.

What You’ll Do

• Define and own the ML strategy and technical roadmap for Gather AI, aligned with product and business objectives
• Lead and grow the Machine Learning and FPT teams, establishing a culture of rigor, experimentation, and production-quality delivery
• Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products
• Build out MLOps infrastructure — model training pipelines, deployment, monitoring, and CI/CD for ML workloads
• Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the broader platform
• Partner with Product and Operations to translate customer needs into ML-driven product capabilities

What You’ll Need

• 10+ years building and scaling production ML or computer vision systems
• 5+ years managing and growing ML engineering teams
• Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures
• Strong Python and PyTorch (or TensorFlow) proficiency, plus a track record of shipping ML models to production at scale
• MS or PhD in Computer Science, Machine Learning, or a related field (strong industry track record considered in lieu of advanced degree)

Nice to Have

• Experience with drone, robotics, or autonomous systems perception
• Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference)
• Familiarity with warehouse, logistics, or supply chain domain
• Experience with AWS or GCP ML services (SageMaker, Vertex AI)

About the Company

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Role

We’re looking for someone who is customer-focused, technically proficient, and proactive in enhancing IT processes. You should excel at clear communication with both technical and non-technical stakeholders, have robust expertise in IT systems (with a strong background in macOS), and thrive in fast-paced environments. You will be the first point of contact for troubleshooting hardware, software, and network issues. Your responsibilities include resolving support requests, coordinating with vendors for equipment procurement, repairs, and maintenance, and actively participating in process and systems improvement initiatives.

What you’ll do

• Collaborate with cross-functional teams to identify opportunities for improvement, support the creation and maintenance of repeatable workflows (such as onboarding and device imaging), and contribute innovative ideas.
• Work closely with cross-functional teams to ensure seamless employee experiences. Clearly articulate issues, potential solutions, and timelines to both technical and non-technical stakeholders.
• Serve as the primary point of contact for troubleshooting hardware, software, and network issues, ensuring prompt and reliable resolution of employee requests.
• Coordinate with vendors for procurement, repairs, and maintenance while managing hardware and software inventories to maintain secure, up-to-date, and standardized systems.
• Support basic cloud operations across environments such as Amazon Web Services and Microsoft Azure, including user access, troubleshooting connectivity issues, and assisting with environment visibility
• Partner with Engineering and Infrastructure teams to troubleshoot access, permissions, and resource-related issues within cloud environments
• Partner with Security and Engineering to ensure IT processes align with compliance requirements (ISO 27001, SOC 2), including maintaining accurate documentation and audit evidence
• Identify opportunities for process improvement and contribute to building repeatable, scalable workflows across onboarding, access management, and device provisioning

Requirements

• Strong technical expertise in macOS (with a working knowledge of Windows as a plus), identity and device management (e.g., Azure AD, Jamf, Intune), and enterprise collaboration tools like Google Workspace, Office 365, Slack, and Atlassian products.
• Excellent written and verbal communication skills, ensuring clarity and professionalism in both internal and external interactions.
• Experience with identity providers such as Okta or Microsoft Entra ID
• Familiarity with Apple Business Manager and automated device enrollment workflows
• Excel at troubleshooting and problem-solving within Mac and macOS environments, ensuring smooth operations for users.
• Have experience orchestrating all-hands events, managing the AV and technical aspects to ensure successful outcomes.
• A proactive approach to problem solving and continuous improvement.
• Exhibit precision and attention to detail in your work, consistently delivering high-quality results.
• Possess a customer-first mindset and the ability to clearly articulate technical details to diverse audiences.
• Are proactive in process improvement and vendor management.
• Exposure to security and compliance frameworks such as ISO 27001 or SOC 2 is a BIG plus.

About Us

Are you ready to build the future of the supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery.

If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role spans both deep technical work and collaboration with teams closest to the customer. As a Principal-level IC, you'll have real input into technical direction — not just executing on decisions, but helping make them. 

About the Role

We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML lifecycle — from research and model architecture through training, deployment, and production monitoring — with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products.

This role is ideal for a senior ML practitioner who wants principal-level impact on a core product, a variety of deployment targets (cloud, on-prem, embedded), and real-world data with tangible business outcomes.

What You’ll Do

• Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms
• Own the full ML lifecycle from research and experiment design through production deployment and monitoring — applying rigorous ablation studies and SOTA methodology
• Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization)
• Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact
• Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness
• Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets

What You’ll Need

• 10+ years of experience in machine learning or computer vision
• Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow
• Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing
• Track record of delivering production ML systems at scale, including model training, evaluation, and deployment
• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

Nice to Have

• Experience with drone, robotics, or autonomous systems perception
• Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL)
• Experience designing and deploying models for real-time inference on constrained compute platforms
• Warehouse, logistics, or supply chain domain experience

Open to remote candidates as well as local candidates in New York, Pittsburgh, or St. Louis

The Role: 

The Patient Services Operations team is at the forefront of our mission to deliver affordable, world-class experiences for every customer. As Senior Manager, Knowledge Management (KM) & Communications, you will own the strategy, architecture, and execution of how information is created, maintained, and delivered across Patient Services — at scale. This is not a traditional KM role. We are looking for a forward-thinking leader who treats knowledge infrastructure as a product, with Artificial Intelligence (AI) and automation at its core. You will drive the evolution of how frontline teams access and apply information — moving from static documentation toward intelligent, dynamic knowledge systems that surface the right information at the right moment. In a highly regulated healthcare environment, you will ensure teams are equipped with clear, compliant, and current knowledge while leading internal communications that drive change, alignment, and continuous improvement.

What You'll Do:

Knowledge Management Strategy & AI Innovation

• Define and own the long-term vision for a modern, AI-enabled knowledge management ecosystem across Patient Services
• Lead the evaluation, implementation, and governance of AI-powered knowledge tools — including Large Language Model (LLM)-assisted content generation, intelligent search, and automated content freshness workflows
• Build a knowledge infrastructure that proactively surfaces relevant information to frontline agents in real time, reducing handle time and improving accuracy
• Partner with Product and Technology teams to integrate knowledge systems into agent-facing tools, chatbots, and customer-facing self-service experiences
• Continuously assess the emerging AI/ML landscape for opportunities to improve content creation, retrieval, personalization, and compliance monitoring

Content Development & Editorial Leadership

• Set and uphold a high editorial bar for all knowledge content — Standard Operating Procedures (SOPs), communications, training materials, and compliance documentation — ensuring content is clear, accurate, empathetic, and user-focused
• Lead a team of content developers and knowledge specialists, setting clear goals, coaching for growth, and building a culture of quality and ownership
• Own the full content lifecycle: creation, review, approval, publication, versioning, and retirement
• Develop scalable frameworks and governance models for content consistency across business units and geographies

Internal Communications

• Oversee all internal communications to Patient Services teams, including operational changes, policy updates, product launches, and leadership messaging
• Design communication strategies that drive comprehension, adoption, and alignment at scale across a distributed frontline workforce
• Measure communication effectiveness and iterate based on data and team feedback

Cross-Functional Execution & Program Management

• Lead knowledge and communications workstreams for new client and product launches — from requirements gathering through go-live and post-launch optimization
• Partner closely with Operations, Compliance, Legal, Training, Product, and Technology to ensure knowledge content meets regulatory standards and operational realities
• Define, track, and report on team Key Performance Indicators (KPIs) — content accuracy rates, time-to-publish, agent utilization, self-service deflection, and others — to drive continuous improvement
• Build scalable mechanisms to ensure global consistency and quality as the business grows

A successful applicant will fit the following criteria:

• Bachelor's degree or equivalent experience
• 7+ years of experience in knowledge management, content strategy, or related fields, with at least 3+ years managing and developing people
• Demonstrated experience leading AI or technology-forward initiatives in a knowledge, content, or operations context — including hands-on work with LLM tools, AI-assisted authoring, or intelligent search platforms
• Proven track record owning KM strategy, governance, and content lifecycle for large-scale frontline or customer service operations
• Strong editorial and written communication skills, with experience leading internal communications through complex operational or policy change
• Experience operating in regulated industries (healthcare, pharmacy, insurance, or similar), with a rigorous focus on accuracy and compliance
• Comfort working with data — defining KPIs, analyzing content performance, and translating insights into actionable improvements
• Experience with enterprise KM platforms, CMS tools, or contact center knowledge bases (e.g., Guru, Confluence, Salesforce Knowledge, or similar)
• A builder's mindset: you see knowledge infrastructure as a product, not a filing system, and you're energized by the opportunity to modernize how teams work

Onsite & Hybrid Work Requirements (Mandatory):

• Open to remote candidates as well as local candidates in New York, Pittsburgh, or St. Louis
• Remote candidates: Regular onsite travel is required. During the first 60 days, travel onsite twice per month for four consecutive days (Mon–Thu). After 60 days, travel onsite once per month for four consecutive days (Mon–Thu)
• Local candidates: Hybrid schedule with a minimum of three (3) days per week in office

The Role: Operational Excellence Manager (Pharmacy Operations)

The Operational Excellence Manager (Pharmacy Operations) is part of Blink’s Patient Services Operations team, which leads our mission to make prescriptions more affordable and deliver the best patient experience. Reporting under the Operational Excellence umbrella, this role drives process improvement, standardization, and efficiency across Hub Pharmacy Operations. You’ll partner cross-functionally with Patient Services Operations, Product & Engineering and Data to identify inefficiencies, streamline workflows, and execute initiatives that enhance scalability, quality, and patient impact. The ideal candidate is both a strategic thinker and hands-on executor, skilled at translating operational needs into scalable processes, tools, and data-driven insights.

This will be an on-site position based within our Pittsburgh, PA office.

Responsibilities

• Process Improvement & Operational Design: Drive initiatives that improve pharmacy operational efficiency, quality, and scalability. Identify bottlenecks, redundancies, and automation opportunities. Document end-to-end workflows and partner with Product and Engineering to implement process enhancements into the product platform. 
• Project Execution & Cross-Functional Collaboration: Lead cross-functional initiatives from concept through delivery, ensuring timely execution and alignment with organizational goals. Translate business needs into actionable plans and support the rollout of new workflows, offerings, and features. Build consensus, track progress, and maintain clear communication across teams.
• Analytics & Reporting: Use data to guide decisions and measure the impact of operational initiatives. Develop key performance metrics, analyze trends, and conduct root-cause analysis on performance gaps. Collaborate with the team analyst to build dashboards and share insights that drive continuous improvement.
• Operational Excellence: Foster a culture of operational excellence through standardized documentation, clear metrics, and continuous improvement. Define and demonstrate what “good” looks like, driving adoption of best practices across Pharmacy Operations.

Must-Have Qualifications

• Experience: 5+ years in pharmacy operations, healthcare operations, or process improvement; experience leading cross-functional initiatives in a high-growth or healthcare environment preferred.
• Project Management: Proven ability to plan and execute multiple initiatives from concept to completion, managing timelines, deliverables, and stakeholder alignment.
• Analytical Skills: Strong ability to interpret data, identify trends, and translate insights into actionable process improvements; experience with Google Sheets, SQL, and/or BI tools.
• Process Improvement: Familiarity with Lean, Six Sigma, or other continuous improvement methodologies; skilled at documenting workflows and standardizing processes.
• Technical Fluency: Proficiency with Google Workspace tools (Sheets, Slides, App Script) and comfort with light technical solutioning or automation.
• Communication & Collaboration: Excellent written and verbal communication skills with the ability to influence and align cross-functional teams.
• Adaptability: Thrives in a dynamic, fast-paced environment with shifting priorities; able to balance strategic thinking with hands-on execution.
• Mission-Oriented: Motivated by Blink’s mission to improve medication access and passionate about delivering scalable, data-driven operational solutions.

Available Location: Pittsburgh, PA

About the Role

We are seeking an exceptionally accomplished and visionary Senior Majors Account Executive to join our Enterprise/Field Sales team. In this expert-level role, you will be the driving force behind Cloudflare's most strategic customer engagements, leading the charge in securing and expanding critical platform sales within focused accounts. The ideal candidate possesses unparalleled sales leadership, a profound grasp of enterprise architecture across all four pillars (business, data, applications, technology), and the ability to articulate how Cloudflare seamlessly integrates into modern cloud operating models.

As a Senior Majors Account Executive, you will demonstrate the highest level of sales proficiency, ensuring highly accurate forecasting, strategic pipeline management, and consistently exceeding attainment targets. You will be a recognized subject matter expert, providing in-depth education to customers and partners alike on Cloudflare’s extensive product ecosystem and its place within the broader security landscape. This role demands the ability to apply executive sponsorship programs, actively engaging with CIOs, CISOs, and CTOs, and leading virtual teams that include VPs and SVPs to navigate and close complex, transformative opportunities. You will shape our customers' digital transformation journeys, identifying opportunities within broader market trends and positioning Cloudflare as their indispensable strategic partner.

What You'll Do

• Executive-Level Strategic Revenue Leadership: Own and execute the most critical territory and account plans, consistently exceeding multi-million dollar sales targets and annual quotas by architecting and closing large-scale platform sales within highly focused, strategic accounts.
• Precision Forecasting & Pipeline Mastery: Lead with unparalleled accuracy in forecasting and demonstrate complete mastery of proactive pipeline management. Provide visionary insights and strategic guidance that shapes the direction of the sales organization.
• Enterprise Architecture & Business Model Expertise: Exhibit an expert-level understanding of customer Enterprise Architecture across all four pillars (business, data, applications, technology), seamlessly mapping these to customer business models. Articulate precisely how Cloudflare fits into and optimizes a modern cloud operating model.
• C-Suite Engagement & Executive Sponsorship: Lead and orchestrate complex customer engagements across numerous business units simultaneously, connecting the dots to solidify platform sales. Actively apply and manage executive sponsorship programs, ensuring direct engagement and influence with CIOs, CISOs, and CTOs.
• Cross-Functional Leadership & Influence: Drive and lead highly complex virtual teams that include Product Managers, VPs, and SVPs to manage and close the most strategic customer opportunities. Proactively identify and resolve organizational roadblocks, leveraging company-wide learnings to ensure the most efficient delivery.
• Digital Transformation Visionary: Serve as Cloudflare's leading voice on digital transformation, engaging deeply with customers on their key drivers for change (e.g., new offering development, customer capabilities). Expertly spot and seize opportunities for Cloudflare within broader market trends that influence these critical decisions.
• Organizational Communication & Feedback: Connect themes from across departments and global locations to craft critical, crystal-clear messaging. Review performance and output across multiple organizations, providing feedback and solutions to enhance the entire organization’s performance. Deliver challenging news within a constructive learning context.
• Long-Term Strategic Impact: Consistently articulate how decisions will impact Cloudflare years into the future, willing to trade short-term gains for significant long-term organizational benefit. Build trust by openly sharing learnings and modeling Cloudflare's highest expectations and standards.
• Define Goals & Drive Efficiency: Play a key role in defining team goals and metrics each quarter, rigorously reviewing results. Deeply understand interdependencies within and across teams, proactively addressing roadblocks to achieve results with maximum efficiency.
• Company-Wide Innovation & Problem Solving: Consistently and proactively address internal and external needs, driving urgency across the department and company to offer solutions that optimize efficiency. Constructively and humbly challenge the status quo to drive positive change and innovation company-wide, leveraging new insights for continuous iteration.
• Inclusive Leadership & Future-Proofing: Serve as an exemplary leader, consistently bringing in diverse perspectives to not only address today's needs but also anticipate and solve future problems, contributing significantly to the greater good of Cloudflare.

Examples of Desirable Skills, Knowledge, and Experience

• 10+ years of expert-level experience selling complex, multi-million dollar technology solutions in a B2B enterprise model, with an irrefutable track record of consistently exceeding quota and closing transformative platform deals.
• Unparalleled in-depth knowledge of Cloudflare's entire product suite and the broader security landscape, coupled with the ability to educate both customers and partners at an expert level.
• Mastery in understanding Customer Enterprise Architecture (Business, Data, Applications, Technology) and adept at mapping Cloudflare solutions to complex business models and modern cloud operating environments.
• Proven ability to apply and manage executive sponsorship programs, with extensive experience engaging directly and influencing CIOs, CISOs, and CTOs.
• Demonstrated success in leading and orchestrating virtual teams comprising VPs and SVPs to manage and close the most strategic customer opportunities.
• Recognized authority on digital transformation, with a deep understanding of market trends and the ability to strategically position Cloudflare as a critical partner in driving customer innovation.
• Exceptional strategic communication, negotiation, and presentation skills, capable of delivering impactful messaging to the highest levels of customer and internal leadership.
• A visionary leader who consistently makes decisions for the long-term benefit of Cloudflare, even if it means trading off short-term gains.
• Proven ability to define team goals and metrics, drive cross-departmental efficiency, and proactively address roadblocks for optimal results.
• A humble yet assertive leader who consistently challenges the status quo and drives positive, innovative change across the organization.
• Expert-level proficiency in advanced sales and business intelligence platforms (e.g., Salesforce, Tableau, G-suite, MSFT suite, MEDDPICC, etc.).
• Bachelor's degree required, with an MBA or advanced technical degree highly preferred.
• Ability to travel extensively as required to engage with key customers, executive leadership, and internal teams.

Compensation

Compensation may be adjusted depending on work location.

• Estimated annual salary of $350,000- $370,000 (base/variable)

This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

SOC Manager 

New York City, NY

Created in 2000, Ivalua is a leading global provider of cloud-based procurement solutions.

COMPANY OVERVIEW

At Ivalua we are a global community of exceptional professionals, who believe that digital transformation revolutionizes supply chain sustainability and resiliency to unlock the power of supplier collaboration. 

We achieve this through our leading cloud-based spend management platform that empowers hundreds of the world's most admired brands to effectively manage all categories of spend and all suppliers to increase profitability, improve ESG (environmental, social, and corporate governance) performance, lower risk, and improve productivity. Driven by our passions and fueled by our shared ambitions, we empower and challenge each other to create meaningful experiences for our colleagues, customers, partners, and communities. 

Learn more at www.ivalua.com. Follow us on LinkedIn and Twitter.

THE OPPORTUNITY

CONTEXT: 

Our IT department, international in scope (EMEA, AMER, APAC) and in full growth, is made up of over sixty IT & Cybersecurity professionals in charge of the deployment and operations of the Ivalua Cloud, which hosts the environments for our clients around the world.  It is also responsible for internal IT infrastructures, IT applications and data, IT support for our users as well as the Security monitoring & IT security handling.
In this context of growth, we are looking for a skilled SOC Manager based in Pittsburgh to expand our team capability and embrace the era of AI.

ROLE: 

The Manager, IT SOC is responsible for leading and developing a global Security Operations Center team, ensuring 24/7 security monitoring, effective incident response, and proactive vulnerability management across the organization.
This role provides technical leadership, operational governance, and strategic direction to protect the company’s infrastructure, cloud environments, applications, and data from cyber threats.
You will report to the Global IT Director and will manage a distributed team of SOC analysts based in the United States, France, and India, ensuring consistent processes, tooling, and service levels across regions.

WHAT YOU WILL DO WITH US 

1.  SOC Operations & Security Monitoring
• Lead and manage the global SOC team (6 analysts across multiple time zones, relying also on our 24/7 global IT Service center in India).
• Ensure continuous monitoring of security events using SIEM, EDR/XDR, NDR, and cloud security tools.
• Define, maintain, and optimize SOC processes, playbooks, and runbooks.
• Ensure detection use cases are continuously improved to reduce false positives and increase detection coverage.
• Manage SOC KPIs and SLAs (MTTD, MTTR, alert volume, incident closure rates).
2.  Incident Response & Threat Management
• Oversee security incident handling from triage to containment, eradication, and recovery.
• Act as escalation point for major security incidents and coordinate with IT, Infosec, Business,  Legal, and Communications teams.
• Lead post-incident reviews (lessons learned, root cause analysis) and implement remediation plans.
• Coordinate with external partners (MDR providers, forensics firms, law enforcement if required).
3. Vulnerability Management
• Collaborate closely with Infosec on the vulnerability management lifecycle: scanning, prioritization, remediation tracking, and reporting.
• Work with infrastructure, cloud, and application teams to ensure timely patching and risk mitigation.
• Define vulnerability SLAs based on risk and business criticality.
• Help Infosec to provide risk-based reporting to technology and business stakeholders.
4. Governance, Risk, and Compliance Support
• Contribute to security policies, standards, and operating procedures.
• Support audits, regulatory requirements, and frameworks (e.g., ISO 27001, NIST, SOC2, PCI DSS, GDPR, HIPAA, FEDRAMP, IRAP).
• Maintain documentation and evidence for security operations controls.
5. Tooling & Technology Strategy
• Own SOC tooling strategy (SIEM, SOAR,, vulnerability scanners, cloud security tools, etc.) and contribute to the other IT security solutions (EDR/XDR, Network & Cloud Security, Identity protection, etc.). Evaluate and implement new security technologies and integrations.
• Drive automation and orchestration to improve SOC efficiency and reduce manual workload.
• Contribute actively to the security logging quality (new technologies, review existing log sources and help to get them optimized and cleaned-up). 
6. Team Leadership & Global Coordination
• Manage and mentor SOC analysts across regions and time zones.
• Define shift models, on-call rotations, and coverage strategy.
• Conduct performance reviews, training plans, and career development.
• Foster collaboration between US, France, and India teams to ensure consistent operations and engage actively with the overall IT & Infosec community 
7. Reporting & Stakeholder Communication
• Produce executive-level security operations reports and dashboards.
• Communicate risks, incidents, and trends to senior leadership (CISO, IT leadership, risk committees).
• Provide guidance to engineering and business teams on security best practices.

YOUR PROFILE

If you have the below experience and strengths this role could be for you:

Mastery:
SIEM platforms (Splunk, Microsoft Sentinel, QRadar, Elastic, etc.)
EDR/XDR solutions (Microsoft Defender, CrowdStrike, SentinelOne, etc.)
Cloud security (Azure, AWS, GCP security monitoring and logging)

Proficient:
Vulnerability management tools (Qualys, Tenable, Rapid7, etc.).
Knowledge of NIST, MITRE ATT&CK, ISO 27001, SOC2, CIS benchmarks, and ITIL/IT operations processes
Excellent understanding of networking, operating systems, and application security fundamentals

Basic knowledge:
Familiarity with SOAR, threat intelligence platforms, and security automation
Knowledge of web application & database

Required experience:

Bachelor’s degree in relevant field preferred with a minimum of 10 years of relevant professional experience, OR Master’s degree in relevant field with a minimum of 8 years relevant professional experience, OR Equivalent combination of education and experience

Relevant certifications such as GIAC, OSCP, HTB are preferred. 7–12+ years in cybersecurity, with 3–5+ years in SOC or security operations leadership.
Proven experience managing distributed/global security teams.
Strong background in incident response, security monitoring, and vulnerability management.
U.S. Citizen / Permanent Resident. No sponsorship required

“Nice to have” experience:
Knowledge of cloud concepts and platforms, especially Azure.
Experience in an international company & team.
Experience in monitoring regulated environments (Fedramp, IRAP)

Soft skills:
Strong leadership and people management skills
Structured, process-driven, and comfortable with crisis management, problem solving aptitude
Team player, good communication skills and confortable working in multicultural, global teams and across time zones.
Strong reporting & good documentation writing skill.

WHAT HAPPENS NEXT

If your application fits this specific position’s needs, our skilled Talent team will reach out to schedule an initial screening call. Get one step closer to achieving your goals – apply today! 

Our Talent team will guide you through every step of the interview process - from preparation to completion. They're here to support you! 

Our recruitment process is designed to assess your competencies through a series of personalized interviews with internal stakeholders relevant to the role. 

Interviews will be conducted virtually via video or on-site with face-to-face meetings.

LIFE AT IVALUA

• Hybrid working model (3 days in the office per week),
• We're a team dedicated to pushing the boundaries of product innovation and technology,
• Sustainable Growth, Privately Held,
• A stable and cash-flow positive Company since 10 years,
• Snacks and weekly lunches in the office,
• Feel empowered to pursue your goals with improved team collaboration and increased creativity/productivity,
• Unlock and unleash your full professional potential with our exceptional training and career development program,
• Join a dynamic and international team of top-notch professionals who are experts in their respective fields. Collaborate with like-minded individuals who are deeply passionate and highly motivated about their work. Experience a truly diverse and inclusive work environment where your unique contributions are highly valued,
• Regular social events, competitive outings, team running events, and musical activities,
• Comparably recognized Ivalua for the following (https://www.comparably.com/companies/ivalua) :

Powered by People - Powered by You!

United by our values we embrace diversity and equity in the broadest possible sense to create an inclusive workplace. To help our customers make supply chains more efficient, sustainable and resilient, we rely on a global team with a variety of backgrounds, skills and views. We believe in equal opportunity and in diversity as a driver of innovation that cultivates a spirit of inclusiveness, creates a productive and fun place to work, and provides fulfilling career opportunities for all Ivaluans. https://www.linkedin.com/company/ivalua/about/

Experience life at Ivalua - check out our captivating video! Gain insight into our unique company culture and get a glimpse of what it's like to work with us.

One of Ivalua’s core values is to Care & Grow People. We take matters like pay equity very seriously and strive to reward our employees appropriately and fairly for their talents. The salary range for this position is based upon careful and continual market compensation research. In addition to location, salary may also vary based upon job-related knowledge, skills, and experience.

Title: Manager, IT - SOC

Base range minimum: $108,750

Base range maximum: $181,250

*Additional compensation / rewards: In addition to the base salary information above, Ivalua offers an uncapped commission plan as part of the competitive compensation package. Other compensation factors may also be considered. Ivalua also offers exceptional benefits including medical, dental, vision, retirement (with company match), and much more.

 #LI-SG1

#LI-HYBRID

SOC Manager 

Pittsburgh, PA

Created in 2000, Ivalua is a leading global provider of cloud-based procurement solutions.

COMPANY OVERVIEW

At Ivalua we are a global community of exceptional professionals, who believe that digital transformation revolutionizes supply chain sustainability and resiliency to unlock the power of supplier collaboration. 

We achieve this through our leading cloud-based spend management platform that empowers hundreds of the world's most admired brands to effectively manage all categories of spend and all suppliers to increase profitability, improve ESG (environmental, social, and corporate governance) performance, lower risk, and improve productivity. Driven by our passions and fueled by our shared ambitions, we empower and challenge each other to create meaningful experiences for our colleagues, customers, partners, and communities. 

Learn more at www.ivalua.com. Follow us on LinkedIn and Twitter.

THE OPPORTUNITY

CONTEXT: 

Our IT department, international in scope (EMEA, AMER, APAC) and in full growth, is made up of over sixty IT & Cybersecurity professionals in charge of the deployment and operations of the Ivalua Cloud, which hosts the environments for our clients around the world.  It is also responsible for internal IT infrastructures, IT applications and data, IT support for our users as well as the Security monitoring & IT security handling.
In this context of growth, we are looking for a skilled SOC Manager based in Pittsburgh to expand our team capability and embrace the era of AI.

ROLE: 

The Manager, IT SOC is responsible for leading and developing a global Security Operations Center team, ensuring 24/7 security monitoring, effective incident response, and proactive vulnerability management across the organization.
This role provides technical leadership, operational governance, and strategic direction to protect the company’s infrastructure, cloud environments, applications, and data from cyber threats.
You will report to the Global IT Director and will manage a distributed team of SOC analysts based in the United States, France, and India, ensuring consistent processes, tooling, and service levels across regions.

WHAT YOU WILL DO WITH US 

1.  SOC Operations & Security Monitoring
• Lead and manage the global SOC team (6 analysts across multiple time zones, relying also on our 24/7 global IT Service center in India).
• Ensure continuous monitoring of security events using SIEM, EDR/XDR, NDR, and cloud security tools.
• Define, maintain, and optimize SOC processes, playbooks, and runbooks.
• Ensure detection use cases are continuously improved to reduce false positives and increase detection coverage.
• Manage SOC KPIs and SLAs (MTTD, MTTR, alert volume, incident closure rates).
2.  Incident Response & Threat Management
• Oversee security incident handling from triage to containment, eradication, and recovery.
• Act as escalation point for major security incidents and coordinate with IT, Infosec, Business,  Legal, and Communications teams.
• Lead post-incident reviews (lessons learned, root cause analysis) and implement remediation plans.
• Coordinate with external partners (MDR providers, forensics firms, law enforcement if required).
3. Vulnerability Management
• Collaborate closely with Infosec on the vulnerability management lifecycle: scanning, prioritization, remediation tracking, and reporting.
• Work with infrastructure, cloud, and application teams to ensure timely patching and risk mitigation.
• Define vulnerability SLAs based on risk and business criticality.
• Help Infosec to provide risk-based reporting to technology and business stakeholders.
4. Governance, Risk, and Compliance Support
• Contribute to security policies, standards, and operating procedures.
• Support audits, regulatory requirements, and frameworks (e.g., ISO 27001, NIST, SOC2, PCI DSS, GDPR, HIPAA, FEDRAMP, IRAP).
• Maintain documentation and evidence for security operations controls.
5. Tooling & Technology Strategy
• Own SOC tooling strategy (SIEM, SOAR,, vulnerability scanners, cloud security tools, etc.) and contribute to the other IT security solutions (EDR/XDR, Network & Cloud Security, Identity protection, etc.). Evaluate and implement new security technologies and integrations.
• Drive automation and orchestration to improve SOC efficiency and reduce manual workload.
• Contribute actively to the security logging quality (new technologies, review existing log sources and help to get them optimized and cleaned-up). 
6. Team Leadership & Global Coordination
• Manage and mentor SOC analysts across regions and time zones.
• Define shift models, on-call rotations, and coverage strategy.
• Conduct performance reviews, training plans, and career development.
• Foster collaboration between US, France, and India teams to ensure consistent operations and engage actively with the overall IT & Infosec community 
7. Reporting & Stakeholder Communication
• Produce executive-level security operations reports and dashboards.
• Communicate risks, incidents, and trends to senior leadership (CISO, IT leadership, risk committees).
• Provide guidance to engineering and business teams on security best practices.

YOUR PROFILE

If you have the below experience and strengths this role could be for you:

Mastery:
SIEM platforms (Splunk, Microsoft Sentinel, QRadar, Elastic, etc.)
EDR/XDR solutions (Microsoft Defender, CrowdStrike, SentinelOne, etc.)
Cloud security (Azure, AWS, GCP security monitoring and logging)

Proficient:
Vulnerability management tools (Qualys, Tenable, Rapid7, etc.).
Knowledge of NIST, MITRE ATT&CK, ISO 27001, SOC2, CIS benchmarks, and ITIL/IT operations processes
Excellent understanding of networking, operating systems, and application security fundamentals

Basic knowledge:
Familiarity with SOAR, threat intelligence platforms, and security automation
Knowledge of web application & database

Required experience:

Bachelor’s degree in relevant field preferred with a minimum of 10 years of relevant professional experience, OR Master’s degree in relevant field with a minimum of 8 years relevant professional experience, OR Equivalent combination of education and experience

Relevant certifications such as GIAC, OSCP, HTB are preferred. 7–12+ years in cybersecurity, with 3–5+ years in SOC or security operations leadership.
Proven experience managing distributed/global security teams.
Strong background in incident response, security monitoring, and vulnerability management.
U.S. Citizen / Permanent Resident. No sponsorship required

“Nice to have” experience:
Knowledge of cloud concepts and platforms, especially Azure.
Experience in an international company & team.
Experience in monitoring regulated environments (Fedramp, IRAP)

Soft skills:
Strong leadership and people management skills
Structured, process-driven, and comfortable with crisis management, problem solving aptitude
Team player, good communication skills and confortable working in multicultural, global teams and across time zones.
Strong reporting & good documentation writing skill.

WHAT HAPPENS NEXT

If your application fits this specific position’s needs, our skilled Talent team will reach out to schedule an initial screening call. Get one step closer to achieving your goals – apply today! 

Our Talent team will guide you through every step of the interview process - from preparation to completion. They're here to support you! 

Our recruitment process is designed to assess your competencies through a series of personalized interviews with internal stakeholders relevant to the role. 

Interviews will be conducted virtually via video or on-site with face-to-face meetings.

LIFE AT IVALUA

• Hybrid working model (3 days in the office per week),
• We're a team dedicated to pushing the boundaries of product innovation and technology,
• Sustainable Growth, Privately Held,
• A stable and cash-flow positive Company since 10 years,
• Snacks and weekly lunches in the office,
• Feel empowered to pursue your goals with improved team collaboration and increased creativity/productivity,
• Unlock and unleash your full professional potential with our exceptional training and career development program,
• Join a dynamic and international team of top-notch professionals who are experts in their respective fields. Collaborate with like-minded individuals who are deeply passionate and highly motivated about their work. Experience a truly diverse and inclusive work environment where your unique contributions are highly valued,
• Regular social events, competitive outings, team running events, and musical activities,
• Comparably recognized Ivalua for the following (https://www.comparably.com/companies/ivalua) :

Powered by People - Powered by You!

United by our values we embrace diversity and equity in the broadest possible sense to create an inclusive workplace. To help our customers make supply chains more efficient, sustainable and resilient, we rely on a global team with a variety of backgrounds, skills and views. We believe in equal opportunity and in diversity as a driver of innovation that cultivates a spirit of inclusiveness, creates a productive and fun place to work, and provides fulfilling career opportunities for all Ivaluans. https://www.linkedin.com/company/ivalua/about/

Experience life at Ivalua - check out our captivating video! Gain insight into our unique company culture and get a glimpse of what it's like to work with us.

One of Ivalua’s core values is to Care & Grow People. We take matters like pay equity very seriously and strive to reward our employees appropriately and fairly for their talents. The salary range for this position is based upon careful and continual market compensation research. In addition to location, salary may also vary based upon job-related knowledge, skills, and experience.

Title: Manager, IT - SOC

Base range minimum: $108,750

Base range maximum: $181,250

*Additional compensation / rewards: In addition to the base salary information above, Ivalua offers an uncapped commission plan as part of the competitive compensation package. Other compensation factors may also be considered. Ivalua also offers exceptional benefits including medical, dental, vision, retirement (with company match), and much more.

 #LI-SG1

#LI-HYBRID

Position Overview

We are seeking a proficient Embedded Security Engineer to join our team and contribute to the protection of our models deployed on robotic hardware. You will be responsible for conducting comprehensive threat modeling and security assessments, as well as supporting our engineering teams in adhering to established security standards and requirements. This role involves both software engineering techniques and deep learning methods to encode/encrypt trained models. A blend of technical acumen and collaborative skills is essential, as you will develop solutions to identified risks, write test cases for security controls, and actively participate in offensive security assessments.

Responsibilities

• Conduct detailed threat modeling and security assessments of critical assets.
• Regularly update threat models to reflect evolving threats and changes in the business environment.
• Identify and explore vulnerabilities in critical software components used across our environment.
• Create and implement technical solutions to mitigate identified risks, and maintain test cases to ensure the effectiveness and resilience of the solutions.
• Collaborate with engineering teams to ensure compliance with defined security standards and requirements.
• Provide support in the implementation of security measures.
• Lead penetration tests and red team exercises.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency developing higher-level languages (e.g., PHP, Python, C++, or Java).
• Experience with deep learning software, frameworks, and APIs (e.g., PyTorch, etc.).
• Experience with enterprise security.
• Proven experience in threat modeling, security assessments, and penetration testing.
• Strong understanding of cybersecurity principles, frameworks, and standards.
• Understanding and experience with securing transfer and storage of deep neural network models.

Company Name: Hellbender Inc.
Job Title: Technical Project Manager
Department: Operations
Report to: VP of Operations

Who we are:
Hellbender Inc. is a Pennsylvania Benefit Corporation who partners with innovators to mature
their Artificial Intelligence enabled computing sensors and produce their solutions onshore at
prototype to high volumes. Hellbender is intentionally forming an inclusive work environment
and is committed to uplifting the historically marginalized identities including veterans, women,
trans and non-white races in our community and industry.

Job Summary:
As a Technical Project Manager at Hellbender, you will be responsible for planning and
executing multiple concurrent projects and for providing the technical guidance needed to
transition projects from conception, through design, and into production. You will be the main
customer facing contact and directly responsible for the budget, performance, and schedule of
assigned projects. This role requires technical expertise, attention to detail, as well as the ability
to collaborate effectively with cross-functional teams. The ideal candidate will have a solid
background in electromechanical systems and experience leading technical teams through
complex engineering projects. United States veteran and diverse candidates are encouraged to
apply at any experience level.

Essential Duties and Responsibilities:

• Establish trust and build effective relationships with customers, executives, engineering
  and production teams, and a variety of cross-functional stakeholders
• Manage and ensure successful, on-time, on-budget delivery of engineering solutions for
  multiple concurrent projects
• Organize project teams by assigning responsibilities, developing schedules, and
  determining resource requirements
• Identify risks to the contracted scope and develop mitigation plans
• Interface with all departments including design, procurement, manufacturing, assembly,
  and testing to ensure project alignment
• Support business development and new work proposals, and generate additional scopes
  of work for current projects as required

Qualifications, Skills, and Attributes:

• A Bachelor's Degree in Computer Science, Materials Science, Robotics, or equivalent
  education
• Experience leading technology based products through the various developmental
  phases including requirements definition, design, testing, field trials, and production
• Experience balancing resources across multiple projects, as well as tracking scope,
  schedule, and budget
• Strong experience with Microsoft Office Suite, software configuration tools, and project
  management systems
• Experience leading cross-functional teams of varying skills and experience
• Excellent written and oral communication skills
• Experience working with software, firmware, mechanical, and/ or electrical engineering
  teams as a developer preferred
• 2 - 5 + years Product Management experience
• Previous experience in a start-up environment, working on complex software and
  hardware projects with multiple stakeholders is highly preferred
• Prior experience transitioning projects into production is highly preferred

Compensation:

This will be a salaried, exempt position. Compensation to be discussed relative to experience
and abilities. This position will be open to the company yearly bonus and retirement savings
programs.

Benefits:

• 401(k)
• 5% Safe Harbor Contribution to 401k by Hellbender
• Dental insurance, 100% by Hellbender for employees and their families
• Flexible spending account
• Health insurance, 100% by Hellbender for employees and their families
• Vision insurance, 100% by Hellbender for employees and their families
• 7.5 weeks total Paid time off
• Hellbender Inc. Stock through our Equity Incentive Plan
• Profit Sharing (through 401k)
• Hybrid work environment & flexible work schedule

Work Location: UPARC Pittsburgh

Opportunity for advancement:
Hellbender is a growing business and follows a policy that prioritizes internal promotions. As
new positions are created new opportunities for advancement will be created as well.