{"id":450255,"url":"https://alion.io/job/human-archive-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":173852,"name":"Human Archive","domain":"humanarchive.ai","url":"https://alion.io/company/human-archive","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":17,"ghost_share":0,"stale_share":0.529,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","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":100000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embodied AI","optional":false},{"name":"Computer Vision","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Localization","optional":true},{"name":"Machine Learning","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Post-training","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Vision-Language-Action","optional":true}],"status":"live","first_seen_at":"2026-05-09T08:36:36Z","employer_posted_date":"2026-05-09","last_verified_at":"2026-10-27T22:48:23Z","board_verified":true,"closed_at":null,"days_open":171,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":170},"description":"About Human Archive\nHuman Archive is a research lab focused on modeling human embodied intelligence.\nHumans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.\nFounded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.\nThe deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.\nWe are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.\nThe Opportunity\nAs a Machine Learning Engineer, you’ll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the intersection of applied machine learning, data infrastructure, and robotics, where your work directly shapes how data is collected, validated, annotated, and evaluated.\nYou’ll help close the loop between research and data collection by fine-tuning VLAs on downstream policy performance and building post-training and reinforcement learning systems around real-world robotics tasks. You’ll be expected to make architectural decisions, own projects end-to-end, and operate in highly ambiguous research environments given the novelty and scale of our multimodal datasets.\nYour work will help shape how frontier labs and leading robotics companies train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence.\nWhat You’ll Do\nBuild systems for multimodal perception, annotation, dataset QA, and robotics evaluation\n\nPublish research on multimodal data by fine-tuning and evaluating VLA models on downstream robotics tasks and policy performance\n\nBuild post-training and reinforcement learning systems around robotics failure modes and corrective demonstrations\n\nWork across video understanding, tracking, pose estimation, temporal modeling, and multimodal alignment\n\nDevelop tooling for benchmarking, observability, and temporal efficiency\n\nPrototype quickly, ship rapidly, and iterate from real-world robotics deployments and research feedback\n\nWhat We’re Looking For\nPassionate, mission-driven individuals who have demonstrated exceptional ownership in previous work\n\nEngineers who want their work to directly impact the next frontier of physical AGI\n\nStrong ML engineering fundamentals across robotics, computer vision, and perception systems\n\nExperience with video understanding, tracking, pose estimation, robotics, or real-world sensor systems\n\nStrong technical intuition and ability to move quickly in ambiguous research environments\n\nPublished research or production experience in robotics, embodied AI, reinforcement learning, motion capture, or vision systems is a strong plus","description_format":"text","description_chars":3714,"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":false,"industries":["AI Training Data & Annotation"],"lifecycle":[{"event":"open","at":"2026-09-06T08:24:04Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.156,"p_room":0.28,"age_days":170,"expected_fill_days":42,"reasons":["conf:0","stale_co","win:tail","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":false},"html_url":"https://alion.io/job/human-archive-machine-learning-engineer","json_url":"https://alion.io/job/human-archive-machine-learning-engineer.json","meta":{"generated_at":"2026-10-28T00:57:19Z","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":1120,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":173852},"rest":"https://alion.io/mcp/rest/get_company?id=173852"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhuman-archive-machine-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%2Fhuman-archive-machine-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%2Fhuman-archive-machine-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/human-archive-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhuman-archive-machine-learning-engineer"}]}