{"id":710868,"url":"https://alion.io/job/epianeuro-staffprincipal-machine-learning-engineer","title":"Staff/Principal Machine Learning Engineer","company":{"id":673459,"name":"Epia Neuro","domain":"epianeuro.com","url":"https://alion.io/company/epianeuro","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Alameda, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":315000,"currency":"USD","period":"year","gross":null,"usd_annual":315000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"C++","optional":true},{"name":"Design Controls","optional":true},{"name":"Edge AI","optional":true},{"name":"IEC 62304","optional":true},{"name":"ISO 13485","optional":true}],"status":"live","first_seen_at":"2026-07-06T23:24:42Z","employer_posted_date":"2026-07-06","last_verified_at":"2026-11-02T13:43:09Z","board_verified":true,"closed_at":null,"days_open":118,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":118},"description":"About Us\nEpia Neuro is a neural technology company developing intent-driven systems that restore function and independence for people living with neurological conditions. Our platform integrates implantable neural interfaces, adaptive algorithms, and assistive devices to translate neural intent into real-world action. Our initial focus is stroke-related motor impairment, with planned expansion into cognitive decline and other neurological disorders.\nThe Role\nWe have a strong research group driving early brain-computer-interface (BCI) algorithm development. We are looking for someone with deep, hands-on BCI machine learning (ML) expertise to own neural decoding and carry it from validated research approaches to real-time algorithms running in human clinical studies. This is where applied BCI work gets real: your models decode intent from actual participants, under the constraints of a live clinical program.\nThis is a senior individual-contributor leadership role, open at the Staff or Principal level depending on skills and experience. You will set ML technical strategy across decoder design, the decoding platform, and system architecture. Your focus is neural decoding, but your influence won't stop there: you will help raise the bar for ML engineering and modeling practices across the company. You will stay hands-on, working closely with our research team and with Software, Firmware, Hardware, and Robotics.\nLocation\nThis role is based out of the San Francisco Bay Area and expected to work on site from our Alameda headquarters 2-3 days a week.\nKey Responsibilities\nTechnical Direction and Strategy\nOwn ML technical strategy for neural decoding, from validated approaches through real-time algorithms deployed in human clinical studies, spanning decoder design, the decoding platform, and system architecture.\n\nDefine data collection, labeling, and evaluation protocols for neural and behavioral data, and set performance criteria tied to clinical use.\n\nContribute to long-term BCI and machine learning platform strategy.\n\nDecoding and Deployment\nPartner with our research team to take neural decoding approaches from concept through validated prototype, including model design, training, and evaluation.\n\nDevelop and improve real-time, closed-loop decoding of neural intent, including online calibration, decoder adaptation, and robustness over time.\n\nOwn productization of the decoding algorithms, taking validated approaches to a deployable real-time inference runtime that meets latency and power budgets on the device.\n\nOwn integration of decoding models into the broader medical device product across Software, Firmware, Hardware, and Robotics.\n\nLead the ML side of human clinical study deployment, accounting for signal non-stationarity, session-to-session variability, limited participant time, and clinical-trial safety and regulatory constraints.\n\nLead debugging and root-cause analysis across the ML, firmware, and controls boundaries.\n\nStandards and Cross-Functional Leadership\nSet ML engineering standards, documentation practices, and test methodologies within our regulated software lifecycle, and review the work of other engineers against them.\n\nMentor engineers across the ML function and strengthen the team's technical depth.\n\nRepresent ML technical positions in regulatory strategy, partner discussions, and work with scientific advisors.\n\nQualifications\nPhD in computational neuroscience, machine learning, or a related field is expected.\n\n4-8+ years developing and deploying BCI algorithms in an industry or product setting, with a track record of owning technical direction at a scope that spans teams.\n\nProduction-quality Python and strong software engineering fundamentals, including testing, code review, and maintainable design in a collaborative codebase.\n\nDeep expertise in neural signal processing and real-time, closed-loop decoding, calibration, and adaptation.\n\nA working understanding of the practical constraints and failure modes of real BCI clinical trials.\n\nExcellent communication and cross-functional collaboration skills.\n\nPreferred Qualifications\nDirect experience leading neural decoding through an end-to-end human clinical deployment.\n\nPhD or postdoctoral training in a leading neural prosthetics, motor systems, or BCI research lab.\n\nProficiency in C++ or embedded development for an inference runtime, and edge or on-device ML.\n\nFamiliarity with safety-critical or regulated systems, such as medical devices (IEC 62304, ISO 13485, design controls).\n\nPhysical Requirements\nAbility to work on site in a lab environment, including participating in hands-on data collection and bench testing with prototype hardware. Requires manual dexterity for handling devices, some standing during test and integration sessions, and the ability to safely operate lab equipment.\nHow We Work\nWe are intentional. We prioritize and are thoughtful about how we use others' time.\n\nWe care for others. We prioritize safety both for patients and one another.\n\nWe own outcomes, not just tasks. Our work demands the highest standards because it impacts real patients and real lives.\n\nHumility is a strength. We are honest about what we know and what we don't know. Getting it right matters more than being right.\n\nBenefits\nFull-time employees are eligible for the following benefits listed below.\nCompetitive base salary with equity\n\n100% of healthcare coverage for you and your dependents\n\nGenerous vacation policy\n\nPaid parental leave\n\nWork from our beautiful waterfront office in Alameda, CA, with access to collaborative spaces and labs","description_format":"text","description_chars":5585,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Generous vacation","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Neurotech & Neuromodulation"],"lifecycle":[{"event":"open","at":"2026-09-11T04:42:08Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 7","filings_12m":7,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":212500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":1}],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.666,"p_room":0.36,"age_days":118,"expected_fill_days":70,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":315000,"is_top_pay":true},"html_url":"https://alion.io/job/epianeuro-staffprincipal-machine-learning-engineer","json_url":"https://alion.io/job/epianeuro-staffprincipal-machine-learning-engineer.json","meta":{"generated_at":"2026-11-02T16:59:33Z","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":23640,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":673459},"rest":"https://alion.io/mcp/rest/get_company?id=673459"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fepianeuro-staffprincipal-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%2Fepianeuro-staffprincipal-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%2Fepianeuro-staffprincipal-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/epianeuro-staffprincipal-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fepianeuro-staffprincipal-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":710868}},{"tool":"search_jobs","arguments":{"company":"epianeuro.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":710868},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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