{"id":142394,"url":"https://alion.io/job/relling-robot-learning-engineer","title":"Robot Learning Engineer","company":{"id":3775771,"name":"Relling","domain":"rellingsystems.com","url":"https://alion.io/company/rellingsystems","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"role":"Robotics","role_family":"Robotics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Motion Planning","optional":false},{"name":"Physical AI","optional":false},{"name":"Vision-Language-Action","optional":false}],"status":"live","first_seen_at":"2026-08-27T22:54:15Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-16T02:41:32Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Role Overview\nRelling is building the deployment layer for physical AI. We deploy hybrid robotic cells - classical motion composed with learned manipulation primitives - into specialty manufacturing operations across the defense industrial base. Our cells run today inside our own factory and on partner floors, and the work to make them run reliably under real production conditions is the work we're hiring you to do.\nIn this role, you'll build robotic cells that operate in real production environments with real consequences when they stop. You'll work across the full deployment stack: perception, motion, learned policies, observability, safety, and technician interfaces. The focus is shipping infrastructure that works on a factory floor, not on a benchmark. The work compounds: every primitive you build, every failure mode you instrument, every reliability fix you ship becomes part of the deployment layer every future cell ships on.\nWhat You'll Do\nBuild and ship hybrid robotic cells that deploy into specialty manufacturing operations. Cells run on the floor, not in a lab.\nDevelop and extend Relling's manipulation primitive library - pick, place, insert, align, trace, press, inspect - that decomposes complex manufacturing tasks into composable, debuggable, reusable sub-skills.\nProductize the integration tooling, safety dossier framework, and observability spine that turns one-off cell bring-ups into configuration against stable interfaces.\nRun cells in continuous production at Fuselage and at partner sites. Diagnose failure modes that only emerge under sustained operation against real customer SKUs.\nDistill frontier vision-language-action models for edge deployment, retaining research-grade behavior on production compute.\nBuild the technician-facing diagnostic surface that lets a maintenance technician interrogate a learned-policy cell and resolve drift without external escalation.\nCollaborate with research partners at frontier foundation-model labs to bring their best models into production environments under real operational constraints.\nCompetencies and Skills\nWe're looking for engineers who combine strong robotics and ML systems intuition with the operational discipline to ship cells that survive contact with real production. Strong candidates typically have many of the following:\nExperience deploying robotic systems (classical or learned) into production environments with uptime accountability.\nHands-on experience across the robotics stack: motion planning, controls, perception, state estimation, runtime software, end-of-arm tooling, basic hardware bring-up.\nStrong software engineering and infrastructure skills: data pipelines, training systems, evaluation frameworks, observability tooling, runtime monitors, fault isolation.\nFamiliarity with foundation-model robotics (VLAs, imitation learning, RL fine-tuning) and the practical engineering tradeoffs of running them on edge compute.\nComfort working in safety-critical environments. Familiarity with ISO 10218 / ISO TS 15066 or equivalent industrial safety standards is a plus.\nThe ability to move from a failure mode observed on the floor to a fix that ships in days rather than quarters.\nBased in San Francisco (Potrero Hill) with regular on-floor work at Fuselage and partner sites. Relocation supported.","description_format":"text","description_chars":3309,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Industrial Automation","Industrial Robotics"],"lifecycle":[{"event":"open","at":"2026-08-27T22:54:15Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.41,"p_room":0.55,"age_days":49,"expected_fill_days":33,"reasons":["conf:3","win:tail"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":170000,"is_top_pay":false},"html_url":"https://alion.io/job/relling-robot-learning-engineer","json_url":"https://alion.io/job/relling-robot-learning-engineer.json","meta":{"generated_at":"2026-10-16T06:31:19Z","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":4254,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":3775771},"rest":"https://alion.io/mcp/rest/get_company?id=3775771"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frelling-robot-learning-engineer"},{"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%2Frelling-robot-learning-engineer"},{"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%2Frelling-robot-learning-engineer"},{"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/relling-robot-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frelling-robot-learning-engineer"}]}