--- title: 'Senior Machine Learning Engineer, Platform at Novellia' canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-platform-novellia-remote-8hz96qchky35' type: 'job' last_seen: '2026-09-16' --- # Senior Machine Learning Engineer, Platform at Novellia - **Company:** Novellia - **Location:** Remote - **Compensation:** $150k–$200k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-08-25 - **Last confirmed live:** 2026-09-16 - **Apply:** https://jobs.ashbyhq.com/novellia/b78bdb55-a439-453b-bf62-a670b31f1fb0 ## Job description Our Story Since 2023, our mission has been clear: to be the north star of patient equity. Every 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. ## About Novellia Novellia 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. We 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. Working with the world's top researchers, we turn health insights into life-changing action for millions of people around the world. ## About the role Most 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. You'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. The 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. We'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. ## What you'll do - Own 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. - Define 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. - Partner 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. - Build clinical NLP pipelines against messy real-world data and work with backend engineers to productionize what you build. - Use LLMs with the same rigor you'd apply anywhere: versioned prompts, real evals, tracked cost/latency, known failure modes. - Make 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. - Help shape the roadmap around the problems you see - a mission and a close working partner, not a backlog. ## What we're looking for - Healthcare or life sciences experience with real clinical data - clinical notes, EHR data, claims, registries, or similar. This one is not negotiable for us. - 6+ 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. - Depth 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. - Practical, 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. - Strong engineering fundamentals in Python. Your work runs in production, not only in a notebook. - Strong collaboration instincts across the ML boundary: you define problems with stakeholders before solving them, write clearly, and bring people along. - A 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. ## Nice to have - Fluency with clinical terminologies and standards: SNOMED CT, ICD-10, LOINC, RxNorm, CPT, FHIR - Experience with HIPAA, SOC 2, de-identification methodology, or IRB and regulatory-grade data work - Experience as an early or first ML hire - Experience building or running human-in-the-loop annotation and QC operations at scale - OCR and document-understanding experience on low-quality real-world documents - Experience mentoring or leading ML engineers, or interest in growing that way What this role is not - Not a research role. The bar is extraction quality in production, not publications. - Not an LLM-wrapper role. If your instinct is that every problem is a prompt away from being solved, we'll frustrate each other. - Not 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. - Not a role where someone hands you a clean labelled dataset. Building it is the job. ## Why this role is a good bet - Ground-floor ownership of a capability with direct commercial weight, with influence over architecture, roadmap, and eventually hiring. - Both halves of the modern ML toolkit in one seat, on a problem where the choice between them genuinely matters. - A manager who treats process and people work as legitimate engineering work, and intends for this seat to grow. - Health tech means the work has stakes - better extraction means higher quality research ## Benefits & Perks - Equity in Novellia - Medical, dental, and vision coverage - 401(k) - Flexible time off - Wellness stipend - Up to 12 weeks of parental leave Don'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. U.S. Applicants Only ## About Novellia ## Company Overview - **One-liner**: Novellia is a free personal health record platform that aggregates medical data across providers into a single, secure view, funded by de-identified data partnerships with biopharmaceutical researchers. - **Entity Type**: Private (Series A – Alive) - **Headquarters**: New York City, New York, United States - **Founded**: 2023 - **Founders**: Shashi Shankar (CEO), Elliot Katz (CTO) ## Core Business - **Primary industry**: Health technology / Healthcare IT - **Target customers**: B2C (patients and caregivers) and B2B (biopharmaceutical companies, researchers, advocacy groups) - **Mission or purpose statement**: “To be the north star of patient equity” – empowering patients with their complete health data while accelerating medical breakthroughs through responsible use of de-identified, aggregated data. [novellia.com](https://novellia.com/about-us) ## Products & Services - **Novellia (Personal Health Record Platform)**: A free, web-based tool that lets US users connect their patient portals (50,000+ healthcare systems) to view a lifetime of medical records in one place. Users can also track symptoms, side effects, medications, and prepare for appointments. The platform is designed to be ad‑free, subscription‑free, and credit‑card‑free. A mobile app is in development. [novellia.com](https://novellia.com/) - **Research & Clinical Trial Matching**: Novellia works with top life science organizations to match patients with relevant clinical trials and to generate real‑world evidence from de‑identified, aggregated data. This partnership model funds the free consumer platform. [novellia.com](https://novellia.com/) ## Market Standing - **Valuation / Market Cap**: Not publicly available (private company) - **Key Metric**: Total Funding – **$18M** raised (Series A, announced June 2, 2026) [cbinsights.com](https://www.cbinsights.com/company/novellia) - **Notable Investors**: Bling Capital, TMV, Spark Capital, Khosla Ventures, Acrew Capital, and three additional undisclosed investors. [cbinsights.com](https://www.cbinsights.com/company/novellia) - **Growth Signals**: - Headcount growth of **92.3% year‑over‑year** (currently 28 employees) [linkedin.com](https://www.linkedin.com/company/novellia) - LinkedIn following growth of **122.9% year‑over‑year** (1,761 followers) [linkedin.com](https://www.linkedin.com/company/novellia) - Named a **2026 Fierce Outsourcing Award recipient** [cbinsights.com](https://www.cbinsights.com/company/novellia) - Active job postings: 4 (including senior engineering and product roles) [linkedin.com](https://www.linkedin.com/company/novellia) ## Competitive Advantages - **Free consumer platform** funded entirely by research partnerships – no ads, no subscription, no paywalls. - **Data aggregation scale** – connects with over 50,000 healthcare systems and can retrieve nearly a decade of health data in under 30 seconds. - **Patient‑first business model** – only uses de‑identified, aggregated data for research, keeping individual records private and under user control. - **Strong research‑backed moat** – partnerships with top life science organizations and advocacy groups create network effects and a unique supply of consented, structured health data. ## Strategic Focus - **Mobile app launch** – the web platform is being extended to iOS and Android (planned for later 2025/2026) to reach more users. [novellia.com](https://novellia.com/) - **Scaling research partnerships** – leveraging the $18M Series A to expand the data platform and support more clinical trials and real‑world evidence studies. - **Accelerating patient equity** – the company prioritizes bridging gaps in access and outcomes for underserved populations, in line with its mission. [novellia.com](https://novellia.com/about-us) ## Why Work Here - **Mission‑driven culture** – employees work directly on improving patient outcomes and making health data accessible to everyone, regardless of background. - **Core values** – Urgency, Excellence, Optimism, Grit, and Integrity shape decision‑making and team dynamics. [novellia.com](https://novellia.com/about-us) - **Fast‑growth startup environment** – the team has grown ~92% year‑over‑year (28 people) and is hiring for senior technical and commercial roles. - **Work location** – HQ in New York City (35 West 31st Street); office policy not explicitly stated, but NYC presence suggests hybrid or in‑office norm. - **Notable perks** – direct impact on healthcare innovation, collaboration with world‑class researchers, and transparent engineering culture focused on building a consumer‑grade health platform. ## Sources 1. [novellia.com](https://novellia.com/) – Product description, FAQ, and value proposition 2. [novellia.com/careers](https://novellia.com/careers) – Mission statement and team values 3. [novellia.com/about-us](https://novellia.com/about-us) – Company story, founders, and values 4. [cbinsights.com](https://www.cbinsights.com/company/novellia) – Funding details ($18M Series A), investors, and awards 5. [linkedin.com](https://www.linkedin.com/company/novellia) – Employee count, growth metrics, and open positions ## Other roles at Novellia - [Senior Product Analytics Engineer](https://feeny.ai/job/senior-product-analytics-engineer-novellia-new-york-nwtr2jywzcwx) — New York, NY - [Director, Life Sciences Partnerships](https://feeny.ai/job/director-life-sciences-partnerships-novellia-remote-v2r20hwbkzhj) - [Research Analyst and Scientific Communications Specialist](https://feeny.ai/job/research-analyst-and-scientific-communications-specialist-novellia-remote-cx9tm6sshaf9) - [Marketing Coordinator](https://feeny.ai/job/marketing-coordinator-novellia-new-york-e72t7z65nt8w) — New York, NY - [Senior Epidemiologist, Real-World Evidence](https://feeny.ai/job/senior-epidemiologist-real-world-evidence-novellia-remote-fqsyafmes2j7) - [Clinical Data Manager](https://feeny.ai/job/clinical-data-manager-novellia-new-york-maste4wrnjy4) — New York, NY - [Senior Product Manager](https://feeny.ai/job/senior-product-manager-novellia-remote-csrs4thqb4gc) - [Senior Backend Engineer](https://feeny.ai/job/senior-backend-engineer-novellia-remote-xr0vbxwe2w2x) - [Senior Fullstack Software Engineer](https://feeny.ai/job/senior-fullstack-software-engineer-novellia-remote-p99wzg08n86b)