CrawlJobs Logo

AI Research Engineer, Reinforcement Learning

United States, Palo Alto 180000.00 - 250000.00 USD / Year · Job Posted February 14, 2026
Apply Position
Job Link Share

Job Description

As a Research Engineer focused on Reinforcement Learning, you will be responsible for teaching NEO new capabilities through RL algorithms. You’ll work across both simulation and real-world environments to build robust behaviors and deploy them into homes. This role will be instrumental in making our robots safer, more capable, and increasingly versatile.

Job Responsibility

  • Own the full stack of engineering tasks, from data engineering and model architecture to product deployment
  • Train NEO on a variety of manipulation and locomotion tasks
  • Collaborate with hardware teams to bridge the sim-to-real gap for policies trained in simulation
  • Partner with controls, QA, and data collection teams to ship RL policies to production
  • Deploy reinforcement learning-trained skills into real-world home environments

Requirements

  • Strong programming experience in Python and/or C++ with familiarity using build tools such as Bazel
  • Proficiency with PyTorch
  • Hands-on experience with simulation platforms like Isaac Sim or MuJoCo
  • Experience training reinforcement learning policies, especially for manipulation or locomotion
  • Ability to collaborate cross-functionally with hardware, control, data, and QA teams
  • Demonstrated experience addressing the sim-to-real gap

What we offer

  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays
  • Equity

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

AI Research Engineer, Reinforcement Learning

8 matching positions

Research Engineer - Reinforcement Learning

Building Open Superintelligence Infrastructure. Prime Intellect is building the ...
Location
Location
United States , San Francisco
Salary
Salary:
Not provided
Prime Intellect
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for the inference or training of large-scale AI models
  • Deep expertise in distributed inference techniques and frameworks (e.g. vllm, sglang) for optimizing the performance and scalability of AI workloads
  • Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines
  • Passion for advancing the state-of-the-art in reasoning and democratizing access to AI capabilities for researchers, developers, and businesses worldwide
Job Responsibility
Job Responsibility
  • Lead and participate in novel research to build a massive scale synthetic data generation pipeline and orchestration solution
  • Optimize the performance, cost, and resource utilization of AI inference workloads by leveraging the most recent advances for compute & memory optimization techniques
  • Contribute to the development of our open-source libraries and frameworks for synthetic data generation and distributed RL frameworks
  • Publish research in top-tier AI conferences such as ICML & NeurIPS
  • Distill highly technical project outcomes in layman approachable technical blogs to our customers and developers
  • Stay up-to-date with the latest advancements in AI/ML infrastructure and tools, synthetic data gen research and proactively identify opportunities to enhance our platform's capabilities and user experience
What we offer
What we offer
  • Competitive compensation, including equity incentives, aligning your success with the growth and impact of Prime Intellect
  • Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco
  • Visa sponsorship and relocation assistance for international candidates
  • Quarterly team off-sites, hackathons, conferences and learning opportunities
  • Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI
  • Fulltime
Read More
Arrow Right

Ai Research Scientist, Reinforcement Learning

Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foun...
Location
Location
United States , New York
Salary
Salary:
122000.00 - 181000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Currently has or is in the process of obtaining a PhD degree in Artificial Intelligence, Computer Vision (3D), Physical AI, Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Research experience in at least one of the following research areas: reinforcement learning, representation learning, self-supervised learning, multimodal learning, robotics policy development, computer vision (3D), egocentric perception, embodied AI and/or LLMs, control theory, optimization algorithms
  • Experience in C/C++ and Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Job Responsibility
Job Responsibility
  • Explore and develop novel post-training paradigms for LLMs using reinforcement learning
  • Explore and develop novel LLM post-training recipes using 3D data
  • Integrate large-scale simulation into LLM post-training
  • Explore mechanical, aerospace, civil, and other engineering disciplines and how to enable LLMs to solve key problems in these domains
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Research Engineer in Reinforcement Learning

The Applied AI team at InstaDeep creates optimization solutions for large scale ...
Location
Location
United Kingdom , London
Salary
Salary:
70000.00 - 90000.00 GBP / Year
instadeep.com Logo
InstaDeep
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Professional experience in AI Research, Applied AI/ML or Mathematical Optimization
  • Proven experience in software development in Python, ideally in projects with codebases of production-grade quality, multiple contributors and version control
  • Candidates must have the right to work in the UK. Visa sponsorship is not available for this role.
  • Attendance in the office for 3 days a week mandatory, we do not offer remote roles.
Job Responsibility
Job Responsibility
  • Work closely with our clients to build a deep understanding of the use case and the constraints the operational experts face in their daily operations
  • Translate industrial knowledge into optimization problem statements
  • Work with InstaDeep colleagues to brainstorm, prototype new research ideas and to iterate and improve on existing implementations by running large-scale experiments and deploying high-quality engineering
  • Engage in pre-sales activities and to support our Business Development team with your acquired unique combination of domain knowledge and AI expertise.
What we offer
What we offer
  • Time to dedicate to personal development, as well as InstaDeep-provided education opportunities
  • Long-term incentive stock plans
  • Private Health insurance
  • Monthly Gym allowance
  • Fulltime
Read More
Arrow Right

Machine Learning Research Scientist / Research Engineer, Post-Training

Scale works with the industry’s leading AI labs to provide high quality data and...
Location
Location
United States , San Francisco; Seattle; New York
Salary
Salary:
252000.00 - 315000.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field
  • Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning
  • Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning
  • Excellent written and verbal communication skills
  • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
  • Previous experience in a customer facing role
Job Responsibility
Job Responsibility
  • Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities
  • Design and experiment new approaches to preference optimization
  • Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness
  • Publish research findings in top-tier AI conferences
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity based compensation
  • commuter stipend
  • Fulltime
Read More
Arrow Right

Principal Research Engineer - Generative AI - AI Frontiers

The AI Frontiers lab at Microsoft Research is charted with ambitious research go...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelors in Computer Science or relevant field AND 6+ years related experience
  • OR Master's Degree in Computer Science or related field AND 4+ years related experience
  • OR Doctorate in Computer Science or related field AND 3+ years related experience
  • OR equivalent experience
  • 1+ year(s) experience developing with Python and Pytorch/JAX
  • Familiarity with architecture and optimizations for large language models
  • Hands-on work in debugging and profiling Pytorch distributed code
  • Basic understanding of working of CUDA kernels
  • Familiarity with pre-training, mid-training and/or post-training pipelines for language and/or multimodal models
  • Foundational understanding of reinforcement learning and key challenges in the field
Job Responsibility
Job Responsibility
  • Design, develop, execute, and implement technology research projects in collaboration with other researchers, engineers, and product groups
  • Be a part of research breakthroughs in the field and play a crucial role in developing, improving, and exploring the capabilities of Large Language Models (LLMs), reasoning and agentic AI
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

AI Research Engineer - Social Products (Technical Leadership)

We're hiring Research Engineers to join teams across Meta working at the interse...
Location
Location
United States , Bellevue
Salary
Salary:
219000.00 - 301000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience with large scale model training, implementing algorithms, and evaluating speech-based systems
  • 5+ YOE as an Applied AI Research Scientist or Applied AI Research Engineer
Job Responsibility
Job Responsibility
  • Contribute to the training of next-generation multimodal foundation models, advance their capabilities in understanding, generation, and grounding, and enable them for downstream product use-cases
  • Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs)
  • Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research, and prioritize research that can be directly applied to Meta's product development
What we offer
What we offer
  • bonus
  • equity
  • Fulltime
Read More
Arrow Right

Machine Learning Research Engineer - Robotics

Scale’s Robotics business unit is dedicated to solving the data bottleneck in Ph...
Location
Location
United States , San Francisco
Salary
Salary:
218400.00 - 273000.00 USD / Year
scale.com Logo
Scale
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Practical experience building training VLA models and/or building robotics data
  • 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models
  • PhD or equivalent experience in Machine Learning or Robotics
  • A track record of published research in robotics
  • Experience conducting data collection and performing evaluations
  • Strong written and verbal communication skills and the ability to work with cross-functional teams and customers
  • Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy
Job Responsibility
Job Responsibility
  • Collaborate closely with Robotics customers to drive the industry forward in using VLA data
  • Develop ML pipelines to train/fine-tune models using Scale’s data
  • Conduct research on robotics data collection, cross-embodiment training, and policy fine-tuning
  • Develop novel methods for evaluating VLA models, including new robotics industry benchmarks
  • Partner with cross-functional stakeholders and Scale’s customers to improve data collection
  • Collaborate with product teams to bring ML outcomes to Scale’s platform
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits
  • a learning and development stipend
  • generous PTO
  • equity based compensation
  • may be eligible for additional benefits such as a commuter stipend
  • Fulltime
Read More
Arrow Right

Principal Machine Learning Engineer, Agentic AI

Location
Location
United States
Salary
Salary:
Not provided
Zillow
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A master's degree or above, equivalent experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing
  • 7+ years of hands-on work building large-scale, high-impact solutions—ideally in the most recent two years building agent-based systems, multi-agent collaboration, or similar paradigms
  • Experience developing dialogue systems capable of long conversations, multi-step reasoning, context-rich decision-making
  • Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance
  • A track record of publishing high-impact research in top AI/ML venues is a big plus.
Job Responsibility
Job Responsibility
  • Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions
  • Leverage advanced GenAI models including reasoning models, real-time voice API, etc, to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users
  • Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production
  • Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage
  • Distill complex research findings and system designs into actionable insights for diverse audiences—including executives
  • Remain on the cutting edge of agentic AI emerging paradigms, driving product innovation
  • Serve as the focal point for applied science projects, driving alignment on timelines, and prioritization
  • Continuously refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment.
  • Fulltime
Read More
Arrow Right