{"id":40146,"url":"https://alion.io/job/agility-robotics-senior-ai-software-engineer-reinforcement-learning","title":"Senior AI Software Engineer, Reinforcement Learning","company":{"id":6884,"name":"Agility Robotics","domain":"agilityrobotics.com","url":"https://alion.io/company/agility-robotics","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":10,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Fremont, United States","Pittsburgh, United States","Salem, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":187000,"max":292000,"currency":"USD","period":"year","gross":null,"usd_annual":292000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Knowledge Distillation","optional":false},{"name":"Model Distillation","optional":false},{"name":"MuJoCo","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Sim-to-Real","optional":false}],"status":"live","first_seen_at":"2026-07-28T16:35:21Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-18T05:26:27Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":81},"description":"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.\nAgility is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people’s lives more fulfilling.\nWhy Join Now\nDigit is one of the only humanoid robots deployed in real customer facilities today-at Schaeffler, GXO, Toyota Motor Manufacturing Canada, and Mercado Libre, with 65,000+ hours of real-world operation logged. In June 2026 we announced plans to become the first pure-play humanoid robotics company to trade publicly (ticker AGLT), in a ~$2.5B merger backed by NVIDIA, Amazon, SoftBank Vision Fund 2, and Foxconn. With $300M+ in orders for Digit and a factory built for 10,000 robots a year, we’re scaling fast-and the policies you build will ship to robots working alongside people in production, not sit in simulation.\nAbout the Role\nThe AI Controls team builds high-rate learned controllers that let Digit move robustly, efficiently, and safely in dynamic environments. As an AI Controls Engineer, you’ll develop and deploy reinforcement learning policies across humanoid locomotion, whole-body control, and manipulation-integrating perception to enable collision-free, perceptive motion in the real world.\nAbout The Work\nDesign, train, and deploy robust RL policies for locomotion, manipulation, whole body control, and dynamic interactions with the environment.\nIntegrate perception into RL policies to achieve obstacle-aware, collision-free motion, and perceptive manipulation.\nDevelop and maintain core RL infrastructure, including scalable training pipelines and evaluation frameworks.\nDesign and implement new simulation environments and tasks to support training and evaluation of control policies.\nCollaborate with on-robot software and deployment teams to ship production-quality policies to Digit.\nAbout You\n4+ years of experience developing and deploying RL policies for robotics applications.\nStrong Python skills and hands-on experience with a deep learning framework such as PyTorch.\nExperience designing reward functions, tuning hyperparameters, and implementing exploration strategies to solve complex control tasks.\nExperience with perception-in-the-loop control, integrating real-time sensory inputs for reactive or adaptive behaviors.\nProven experience deploying reinforcement learning policies on real-world bipedal or quadrupedal robots.\nFamiliarity with robot simulation environments (e.g. Mujoco-Warp, Isaac) and sim-to-real transfer.\nA collaborative approach and the ability to deliver safe, high-quality software in a fast-paced environment.\nBonus Qualifications\nAdvanced degree (MS or PhD) in Robotics, Computer Science, or a related field.\nExperience with contact-rich manipulation, including force-torque or tactile sensing.\nFamiliarity with policy distillation (e.g. teacher-student) for transferring state-based policies to perception-driven ones.\nPublications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).\nThis a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.\nThe 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.\nAnticipated Salary Range\n$187,000—$292,000 USD\nIn addition to base pay, our competitive total rewards package consists of the following for full-time employees:\n 401(k) Plan: Includes a 6% company match.\nEquity: Company stock options.\nInsurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.\nBenefit Start Date: Eligible for benefits on your first day of employment.\n Well-Being Support: Employee Assistance Program (EAP).\nTime Off:Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.\nNon-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.\n\nOn-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.\nParental Leave: Generous paid parental leave programs.\nWork Environment: A culture that supports flexible work arrangements.\nGrowth Opportunities: Professional development and tuition reimbursement programs.\nRelocation Assistance: Provided for eligible roles.\nAnnual Discretionary Bonus: Provided for eligible roles.\nAll of our roles are U.S.-based. Applicants must have current authorization to work in the United States.\nAgility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.\nAgility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.","description_format":"text","description_chars":6485,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Growth opportunities","Insurance coverage","Parental leave","Professional development","Relocation assistance","Stock options","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Logistics & Warehouse Robotics","Humanoid Robots"],"lifecycle":[{"event":"open","at":"2026-07-28T16:35:21Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 46","filings_12m":46,"filings_prev_12m":15,"green_card_filings_12m":0,"median_offered_wage_usd":187500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":17}],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.523,"p_room":0.36,"age_days":80,"expected_fill_days":49,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":292000,"is_top_pay":true},"html_url":"https://alion.io/job/agility-robotics-senior-ai-software-engineer-reinforcement-learning","json_url":"https://alion.io/job/agility-robotics-senior-ai-software-engineer-reinforcement-learning.json","meta":{"generated_at":"2026-10-18T08:01:34Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12051,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6884},"rest":"https://alion.io/mcp/rest/get_company?id=6884"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fagility-robotics-senior-ai-software-engineer-reinforcement-learning"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fagility-robotics-senior-ai-software-engineer-reinforcement-learning"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fagility-robotics-senior-ai-software-engineer-reinforcement-learning"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/agility-robotics-senior-ai-software-engineer-reinforcement-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fagility-robotics-senior-ai-software-engineer-reinforcement-learning"}]}