{"id":717557,"url":"https://alion.io/job/synaptrixlabs-research-scientist-machine-learning-phd","title":"Research Scientist, Machine Learning (PhD)","company":{"id":720809,"name":"Synaptrix Labs","domain":"synaptrix-labs.com","url":"https://alion.io/company/synaptrix-labs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":152000,"max_usd":338000,"period":"year","method":"role_country_seniority_unknown","sample_n":4425},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2025-11-07T23:49:41Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-29T11:54:57Z","board_verified":true,"closed_at":null,"days_open":355,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":355},"description":"About Synaptrix:\nSynaptrix is building non-invasive brain-computer interfaces by treating neural decoding as a fundamental machine learning problem.\nThe brain produces extraordinarily high-dimensional, noisy, non-stationary signals generated by an underlying dynamical system that we can only partially observe. We are developing new models, datasets, and hardware to learn these dynamics and translate them into real-time control of computers, communication systems, mobility devices, and eventually a much broader class of machines.\nWe are looking for exceptional researchers across machine learning, artificial intelligence, applied mathematics, physics, dynamical systems, computational neuroscience, and related fields.\nPrior experience in neuroscience or brain-computer interfaces is not required. We care much more about exceptional research ability, mathematical depth, and the ability to develop new approaches to difficult modeling problems.\nWhat You'll Work On\nDevelop new machine learning methods for modeling high-dimensional neural and behavioral data, spanning representation learning, generative modeling, sequence modeling, latent-variable models, and learned dynamical systems.\nLearn latent structure and dynamics from noisy, non-stationary, partially observed time-series data.\nDevelop approaches to neural decoding that generalize across people, sessions, tasks, and recording conditions.\nExplore problems at the intersection of deep learning, dynamical systems, system identification, control, information theory, optimization, and statistical learning.\nInvestigate self-supervised and unsupervised learning methods that can take advantage of large quantities of neural data without requiring dense behavioral labels.\nDesign rigorous experiments to understand model scaling, generalization, representation quality, and the limits of non-invasive neural decoding.\nBuild simulations and generative models for studying neural signals and testing hypotheses about learned representations and decoding algorithms.\nWork closely with researchers collecting large-scale neural datasets and engineers building the sensing hardware that generates them.\nTranslate promising research into real-time systems controlling computers, communication interfaces, wheelchairs, prosthetics, and other machines.\nBuild rigorous, reproducible implementations of research ideas and scale successful approaches to large datasets and compute.\nContribute original research that advances both Synaptrix's systems and the broader scientific understanding of neural decoding.\nMinimum Qualifications\nPhD or equivalent demonstrated research ability in machine learning, computer science, applied mathematics, physics, statistics, computational neuroscience, electrical engineering, or a related technical field.\nEvidence of exceptional ability to conduct original research.\nStrong mathematical foundations in areas such as linear algebra, probability, optimization, statistics, information theory, or dynamical systems.\nStrong programming ability and experience implementing and evaluating machine learning models in PyTorch, JAX, or equivalent frameworks.\nExperience working with high-dimensional, sequential, scientific, sensory, or otherwise complex datasets.\nAbility to take an ambiguous research problem from first principles through formulation, experimentation, analysis, and implementation.\nAbility to operate independently, question existing assumptions, and pursue technically ambitious ideas.\nParticularly Interesting Backgrounds\nYou may be an especially strong fit if your work has involved one or more of:\nRepresentation learning and self-supervised learning\nFoundation models\nGenerative modeling\nTime-series or sequence modeling\nLatent-variable and state-space models\nDynamical systems and system identification\nScientific machine learning\nInverse problems\nReinforcement learning and optimal control\nInformation theory\nStatistical physics\nComputational neuroscience\nNeural signal processing\nMultimodal learning\nLarge-scale distributed model training\nNone of these backgrounds is individually required. We are interested in exceptional researchers with unusual technical depth, including people whose previous work has had nothing to do with neuroscience.\nResearch Culture\nWe are a small research-driven team working on problems where there is no established playbook. We value first-principles thinking, mathematical and experimental rigor, intellectual honesty, speed, and researchers who are willing to question assumptions about what should be possible with non-invasive neural signals.\nWe care more about important results than credentials, titles, or adherence to a particular modeling paradigm.\nOur goal is to make non-invasive brain-computer interfaces capable enough to restore communication and mobility to people with severe disabilities, and ultimately to create a general interface between the human brain and machines.\nWhat We Offer\nCompetitive salary and meaningful & generous equity ownership\nComprehensive health benefits\nPaid holidays and unlimited PTO\nWork on ambitious, high-impact problems alongside exceptional researchers and engineers across multiple disciplines\nHigh ownership and rapid career growth for team members who deliver outsized impact","description_format":"text","description_chars":5271,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-11T06:27:01Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.126,"p_room":0.28,"age_days":355,"expected_fill_days":24,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/synaptrixlabs-research-scientist-machine-learning-phd","json_url":"https://alion.io/job/synaptrixlabs-research-scientist-machine-learning-phd.json","meta":{"generated_at":"2026-10-29T14:44:46Z","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":22195,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":720809},"rest":"https://alion.io/mcp/rest/get_company?id=720809"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsynaptrixlabs-research-scientist-machine-learning-phd"},{"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%2Fsynaptrixlabs-research-scientist-machine-learning-phd"},{"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%2Fsynaptrixlabs-research-scientist-machine-learning-phd"},{"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/synaptrixlabs-research-scientist-machine-learning-phd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsynaptrixlabs-research-scientist-machine-learning-phd"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":717557}},{"tool":"search_jobs","arguments":{"company":"synaptrix-labs.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":717557},"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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