{"id":125183,"url":"https://alion.io/job/novellia-senior-machine-learning-engineer-platform","title":"Senior Machine Learning Engineer, Platform","company":{"id":5303,"name":"Novellia","domain":"novellia.com","url":"https://alion.io/company/novellia","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":150000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"NER","optional":false},{"name":"NLP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Structured Outputs","optional":false},{"name":"HIPAA","optional":true},{"name":"OCR","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-08-25T14:49:59Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-17T20:55:12Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"Our Story\nSince 2023, our mission has been clear: to be the north star of patient equity.\nEvery day, we strive to bridge the gaps in healthcare access and outcomes to ensure that every patient, regardless of background or circumstance, receives the care they deserve. As a member of our team, you'll be at the forefront of innovation, working alongside passionate individuals who share your dedication to creating best-in-class, patient-centric products in healthcare. Together, we're revolutionizing the way people understand their health and working with the world's top researchers to accelerate innovation.\nAbout Novellia\nNovellia is the first and only company that lets anyone in the U.S. gain access to nearly a decade of their health data in under 30 seconds - 100% free. All your health records, across every doctor, in one place, always up to date.\nWe are the only patient-powered real-world data platform delivering comprehensive, patient-authorized longitudinal health insights to accelerate biopharma innovation. Unlike traditional RWD providers who deliver fragmented institutional data, we empower patients to access 20+ years of their health records, then transform these complete health journeys into fit-for-purpose datasets for evidence generation, regulatory submissions, and market access. We are growing 5x year over year, have raised close to $30M in funding, and are backed by tier-1 investors including Spark Capital, Khosla Ventures, and Bling Capital.\nWorking with the world's top researchers, we turn health insights into life-changing action for millions of people around the world.\nAbout the role\nMost of what matters in a health record isn't in a structured field - it's in the note, the discharge summary, the pathology report, the scanned fax. Turning that unstructured clinical text into trustworthy, structured features is what makes a longitudinal health history usable for research, and it's one of the highest-leverage capabilities Novellia can own.\nYou'll be our first ML hire, joining Platform Engineering and reporting to the Head of Platform Engineering, as technical owner of this multi-quarter effort. The interesting decisions are still open - what we extract first, how we know we're right, what a mature extraction pipeline looks like at our scale. There's no existing approach to inherit or defend.\nThe work draws on two toolkits. Roughly 70% is applied ML on clinical text: entity extraction, classification, sequence labelling, annotation strategy, error analysis, calibration, and the evaluation discipline that tells you whether your numbers mean anything. Roughly 30% is LLM-based: prompt development, structured output, retrieval, and the evals and observability that keep generative approaches honest. Deciding which approach a given problem calls for is the most interesting part of the job, and that call is yours.\nWe're looking for a leader in this seat: setting technical direction rather than waiting to be handed a problem. If this grows the way we think it will, leading the team we build around it is on the table.\nWhat you'll do\nOwn the full lifecycle of extraction models - framing, data/annotation strategy, model selection, training/fine-tuning, evaluation, deployment, monitoring, retraining. Not a research seat, not a hand-off seat.\n\nDefine what \"accurate enough\" means with clinical and customer-facing stakeholders, and build the evaluation harness that makes the answer defensible - the first deliverable, not a follow-up.\n\nPartner with Clinical Data Managers on curation design and own the technical half of QA/QC alongside them: which variables are extractable, how an instruction becomes a model spec, and the tooling/sampling/error analysis behind human-in-the-loop review.\n\nBuild clinical NLP pipelines against messy real-world data and work with backend engineers to productionize what you build.\n\nUse LLMs with the same rigor you'd apply anywhere: versioned prompts, real evals, tracked cost/latency, known failure modes.\n\nMake extraction quality legible to non-ML colleagues, and treat de-identification, PHI handling, audit trails, and access controls as part of the modelling problem, not someone else's checklist.\n\nHelp shape the roadmap around the problems you see - a mission and a close working partner, not a backlog.\n\nWhat we're looking for\nHealthcare or life sciences experience with real clinical data - clinical notes, EHR data, claims, registries, or similar. This one is not negotiable for us.\n\n6+ years in applied ML, with models you personally took from problem statement to production and kept working - you know what degraded, how you found out, and what you did.\n\nDepth in applied ML on text: information extraction, NER, classification, sequence labelling, weak supervision, and the evaluation practice around them, including annotation guidelines and inter-annotator agreement you've had to act on.\n\nPractical, current experience with LLM-based approaches: prompt development, structured output, retrieval, fine-tuning where warranted, evals and observability for generative systems - enough to know where they help, and where they quietly don't.\n\nStrong engineering fundamentals in Python. Your work runs in production, not only in a notebook.\n\nStrong collaboration instincts across the ML boundary: you define problems with stakeholders before solving them, write clearly, and bring people along.\n\nA track record of solving problems rather than closing tickets. Self-directed, comfortable without a playbook, and comfortable being wrong in public when the evidence says so.\n\nNice to have\nFluency with clinical terminologies and standards: SNOMED CT, ICD-10, LOINC, RxNorm, CPT, FHIR\n\nExperience with HIPAA, SOC 2, de-identification methodology, or IRB and regulatory-grade data work\n\nExperience as an early or first ML hire\n\nExperience building or running human-in-the-loop annotation and QC operations at scale\n\nOCR and document-understanding experience on low-quality real-world documents\n\nExperience mentoring or leading ML engineers, or interest in growing that way\n\nWhat this role is not\nNot a research role. The bar is extraction quality in production, not publications.\n\nNot an LLM-wrapper role. If your instinct is that every problem is a prompt away from being solved, we'll frustrate each other.\n\nNot a large-team role yet. You'd be the first ML engineer in a small Platform Engineering function - breadth and influence, and fewer specialists to lean on.\n\nNot a role where someone hands you a clean labelled dataset. Building it is the job.\n\nWhy this role is a good bet\nGround-floor ownership of a capability with direct commercial weight, with influence over architecture, roadmap, and eventually hiring.\n\nBoth halves of the modern ML toolkit in one seat, on a problem where the choice between them genuinely matters.\n\nA manager who treats process and people work as legitimate engineering work, and intends for this seat to grow.\n\nHealth tech means the work has stakes - better extraction means higher quality research\n\nBenefits & Perks\nEquity in Novellia\n\nMedical, dental, and vision coverage\n\n401(k)\n\nFlexible time off\n\nWellness stipend\n\nUp to 12 weeks of parental leave\n\nDon't meet every requirement? Studies show women and people of color are less likely to apply unless they meet every qualification. If you're excited about this role but your experience doesn't align perfectly, we encourage you to apply anyway - you may be the right fit for this or another role.\nU.S. Applicants Only","description_format":"text","description_chars":7505,"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":["Equity","Flexible time off","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Providers & Datasets"],"lifecycle":[{"event":"open","at":"2026-08-25T14:49:59Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.564,"p_room":0.45,"age_days":52,"expected_fill_days":35,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":false},"html_url":"https://alion.io/job/novellia-senior-machine-learning-engineer-platform","json_url":"https://alion.io/job/novellia-senior-machine-learning-engineer-platform.json","meta":{"generated_at":"2026-10-17T23:44:12Z","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":2090,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":5303},"rest":"https://alion.io/mcp/rest/get_company?id=5303"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnovellia-senior-machine-learning-engineer-platform"},{"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%2Fnovellia-senior-machine-learning-engineer-platform"},{"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%2Fnovellia-senior-machine-learning-engineer-platform"},{"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/novellia-senior-machine-learning-engineer-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnovellia-senior-machine-learning-engineer-platform"}]}