# AI Research Engineer III at Agility Robotics > Hybrid · United States · Senior · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Aagilityrobotics%3A6248674004 (read 2026-11-11). ## Facts (observed) - Company: [Agility Robotics](https://alderhq.app/companies/agility-robotics) - Location text: Hybrid- Any Office (Fremont, CA, Salem, OR, or Pittsburgh, PA); Fremont; Pittsburgh; Salem - Where it can be done from (inferred): Hybrid · United States (evidence: "Location: Hybrid- Any Office (Fremont, CA, Salem, OR, or Pittsburgh, PA); Fremont; Pittsbu") - Posted: 2026-11-10 (0 days ago) - First seen by alder: 2026-11-11 · last verified: 2026-11-11 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://www.agilityrobotics.com/about/job-post?gh_jid=6248674004 - Skills listed (inferred): Python, C++, PyTorch ## Pay and sponsorship - Posted pay: $166k–$260k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 166): p25 $201k, median $230k, p75 $251k - H-1B filings at this company for similar roles, FY26: 12, median offered wage $222k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) ## Description (the employer's text) Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. ### About The Role The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. You will work on a team, running experiments on humanoid robots, and will research and implement methods which can be transferred into production. ### About the Work - Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment. - Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks. - Design and implement new simulation environments and tasks to support training and deployment of control policies. - Develop, design, and test imitation learning methods - Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production ### About You - 3+ years of experience developing and deploying learning-from-demonstration - Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch. - Experience with modern learning-from-demonstration tools like DiffusionPolicy - Experience with robot data collection, training, and testing on hardware to perform manipulation tasks. - Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software - MS in Robotics, Computer Science, or a related field. ### Bonus Points - PhD in Robotics, Computer Science, or a related field. - Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA). - Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques. - Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control - Experience with writing performant, high quality software in C++ This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Salary Range $166,000—$260,000 USD In addition to base pay, our competitive total rewards package consists of the following for full-time employees: - 401(k) Plan: Includes a 6% company match. - Equity: Company stock options. - Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. - Benefit Start Date: Eligible for benefits on your first day of employment. - Well-Being Support: Employee Assistance Program (EAP). ### Time Off - Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. - Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. - On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. - Parental Leave: Generous paid parental leave programs. - Work Environment: A culture that supports flexible work arrangements. - Growth Opportunities: Professional development and tuition reimbursement programs. - Relocation Assistance: Provided for eligible roles. - Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aagilityrobotics%3A6248674004 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.