{"id":6186,"url":"https://alion.io/job/neuralink-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":8,"name":"Neuralink","domain":"neuralink.com","url":"https://alion.io/company/neuralink","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":74,"open_postings":73,"ghost_share":0.356,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":141,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","South San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":176000,"max_usd":385000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Post-training","optional":false},{"name":"PPO","optional":false},{"name":"Pre-training","optional":false},{"name":"Quantization","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SFT","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"JAX","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Rust","optional":true},{"name":"Swift","optional":true},{"name":"SwiftUI","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2023-06-29T16:16:44Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-16T11:06:13Z","board_verified":true,"closed_at":null,"days_open":1204,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":1204},"description":"About Neuralink:\nWe are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.\n\nThe opportunity\nIn January 2024, a man paralyzed below the shoulders received a Neuralink implant. Within days he was playing chess and Civilization VI by imagining a cursor moving. That was our first product experience: computer control decoded from 1,024 electrodes in the brain’s motor cortex.\nSince then, 20+ people have been using the device, some for 17+ hours per day.\nWe are now working on two problems nobody has solved.\nDecoding the full virtual arm. This requires deciphering 29 degrees of freedom against millisecond timescale neural spikes. The published state of the art is four degrees of individuated finger control (Willsey et al., Nature Medicine 2025). We aim to fully decipher human intent of controlling anything that a human hand is capable of doing, and build a product that our users rely on for their independence every day.\nBrain to voice. The frontier of real-time voice synthesis from intracortical signals is intelligible roughly half the time and carries only coarse pitch control (Wairagkar et al., Nature, 2025). We are working towards prosodic speech, in users’ own voices, streaming fast enough to hold a natural conversation.\nIf you want to help us solve these problems, we want to hear from you.\nWhy this is an interesting machine learning problem\nData. Train on >50,000 hours of neural data from clinical trial participants\nNonstationarity. Tackle the tough open problem that neural activity drifts and we need to solve decoding while minimizing user recalibration\nCo-adaptation. The brain adapts to your decoder while your decoder adapts to the brain\nStrict constraints. The brain implant operates on a tight power and the participant experience requires optimizing every millisecond of latency\nYour eval is a person. Success is a human being capable of doing something today that they couldn't do yesterday\nWhat you'll work on\nTrain models on neural spike data across sessions and participants so a new user’s decode works out of the box, and stays working through weeks of drift without supervised recalibration\nDesign online adaptation that keeps the closed loop stable while both the model and the user are learning\nCompress a full hand-and-arm decoder to run with a tight latency budget on the user’s device\nBuild the pre-training and post-training stack for voice synthesis: self-supervised representation learning on neural recordings, supervised fine-tuning on paired data, reinforcement learning with intelligibility and naturalness rewards, feeding a streaming vocoder that produces speech in real time\nDefine what evidence justifies shipping a model update to someone’s brain-computer interface, then build the eval and rollout infrastructure to meet that bar\nFeed learnings back into the hardware platform. Our ASIC, thin-film arrays, and the rest of the brain implant are built in-house and follow your engineering gradient\n\nYou might be a good fit if you\nHave designed, trained, and shipped real-time ML systems that people depend on\nHave strong sequence modeling instincts (e.g., in speech, robotics, reinforcement learning, time-series, sensor fusion)\nPrefer owning a problem end to end (data, model, deployment, eval) over one layer of a big stack\nAre deeply curious to understand and expand human consciousness\nRequired: Bachelor’s degree (or higher) in Computer Science, a related field, or equivalent experience\nHelpful (not required)\nFamiliarity with intracortical brain-computer interface decoding literature (e.g., handwriting and speech decoding, manifold alignment, unsupervised recalibration, cross-participant transfer)\nExperience with model compression, quantization, or inference on constrained hardware\nExperience in small-data or heavy-distribution-shift regimes\nNote: No neuroscience background is required. We value simple solutions built from first principles, and some of our best decoding work has come from people who have zero experience with neuroscience.\nOur tech stack\nMachine Learning: PyTorch, JAX\nBackend: Python, Rust, Swift, Bazel\nFrontend: Typescript, SwiftUI\nYou may not be a fit if\nYou prefer remote work. This role is on-site five days a week. The lab, the robot, and your teammates are in the building. So is the job.\nYou’re looking for a 9-to-5 job. The pace is intense. People work hard here because a human being is waiting on the next release.\nYou prefer narrow, specific scope. We have small teams and high ownership.\nHiring process\nTypically four weeks from start-to-finish.\nApplication: we ask for three concise examples of exceptional ability\nRecruiter call: 30 minute video call with a member of our talent team\nHiring manager call: 45 minute technical video call with the hiring manager\nTechnical interview: 45 minute video call with an ML engineer about system design\nOn-site day: live presentation of a technical problem you’ve worked on plus a series of interviews with your future teammates\nFounder interview: 15 minute interview with our Co-Founder, DJ Seo\nDecision within 1 business day of your final interview.\nLearn more\n\nExpected Compensation:\nThe anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees’ success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.\nBase Salary Range:\n$129,000—$331,000 USD\nWhat We Offer:\nFull-time employees are eligible for the following benefits listed below.\nAn opportunity to change the world and work with some of the smartest and most talented experts from different fields\nGrowth potential; we rapidly advance team members who have an outsized impact\nExcellent medical, dental, and vision insurance through a PPO plan\nPaid holidays\nCommuter benefits\nMeals provided\nEquity (RSUs) *Temporary Employees & Interns excluded\n401(k) plan *Interns initially excluded until they work 1,000 hours\nParental leave *Temporary Employees & Interns excluded\nFlexible time off *Temporary Employees & Interns excluded","description_format":"text","description_chars":6421,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off","Parental leave","Restricted stock units","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical & Healthcare Robotics","Neurotech & Neuromodulation"],"lifecycle":[{"event":"open","at":"2023-06-29T16:16:44Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 25 · green card filings: 1","filings_12m":25,"filings_prev_12m":12,"green_card_filings_12m":1,"median_offered_wage_usd":145962,"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)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":8}],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.101,"p_room":0.28,"age_days":1204,"expected_fill_days":141,"reasons":["conf:3","velocity","ghost","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/neuralink-machine-learning-engineer","json_url":"https://alion.io/job/neuralink-machine-learning-engineer.json","meta":{"generated_at":"2026-10-16T12:15:30Z","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":11367,"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":8},"rest":"https://alion.io/mcp/rest/get_company?id=8"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fneuralink-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%2Fneuralink-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%2Fneuralink-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/neuralink-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fneuralink-machine-learning-engineer"}]}