{"id":3716075,"url":"https://alion.io/job/virta-health-senior-engineer-machine-learning","title":"Senior Engineer, Machine Learning","company":{"id":4631,"name":"Virta Health","domain":"virtahealth.com","url":"https://alion.io/company/virta-health","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":92,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-11-04T06:34:25Z"}},"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":"inferred","locations":["San Francisco, United States","Seattle, United States","New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":161500,"max":232500,"currency":"USD","period":"year","gross":null,"usd_annual":232500},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Time Series","optional":false},{"name":"XGBoost","optional":false},{"name":"AWS","optional":true},{"name":"Gemini","optional":true},{"name":"HIPAA","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-11-03T22:21:54Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T05:47:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Virta Health is on a mission to transform type 2 diabetes and weight-loss care. Current treatment approaches aren't working-over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives. Join us on our mission to reverse diabetes and obesity in one billion people.\nAbout the Role\nAs a Senior Engineer, Machine Learning on Virta's Applied AI team, you build the models that shape how Virta shows up for each member: who needs a coach's attention this week, which nudge will land, what moves someone closer to reversing their disease. You take a fuzzy clinical or operational question, sharpen it into something a model can actually answer, and carry it the whole way to production.\nYou are hard to fool. A number that looks good on a slide doesn't convince you until you've checked what's underneath it: whether a leak inflated it, or whether it's quietly wrong for a segment it doesn't call out. You start simple, prove the baseline honestly, and add complexity only once it earns its place.\nYour models don't just ship, they stay healthy without you babysitting them. As Applied AI moves from linear to exponential, you build models on Virta's deep, longitudinal member data and put them on the ML platform that retrains them, watches their quality, and pulls you in only when something is genuinely wrong. What one engineer can deliver stops being capped by how many models they can keep alive.\nNone of this happens solo. You hand models to product engineering to get them in front of members and care teams, lean on ML Ops's infrastructure to keep models running, sit with clinicians to pressure-test what the data is really saying, and work with Product Analytics to design experiments sharp enough to trust, and to separate what actually drives better outcomes from what only correlates with them.\nResponsibilities\nProblem Framing & Modeling: Turn ambiguous clinical and operational questions into well-scoped ML tasks, and build strong baselines before adding complexity.\n\nModel Delivery at Scale: Build predictive models that drive member care, like who is at risk of disengaging, who benefits most from a coach's outreach, or where a member's health is trending. Partner with product engineering to put that signal in front of members and care teams.\n\nSelf-Maintaining Models: On top of the ML platform, build the per-model logic that keeps each model healthy in production (retraining triggers, drift and anomaly detection, continuous evaluation), with compliance considerations built in from the start.\n\nEvaluation & Error Analysis: Design offline and online evaluations, choose metrics suited to imbalanced, delayed, and noisy healthcare outcomes, and run careful error analysis on model failures.\n\nCausal ML & Experimentation: Build causal models validated against real clinical experiments, and partner with Product Analytics on variance-reduction techniques (CUPED/CUPAC) to sharpen experiment sensitivity on Virta's member history.\n\nSignal Integration: Build ML-and GenAI-derived signals that product squads can consume to guide personalized coaching and member experiences.\n\nTechnical Leadership: Lead complex ML initiatives from problem framing through production, coordinating technical decisions and dependencies across Applied AI, ML Ops, Product Engineering, and Product Analytics. Share knowledge and practices that strengthen model quality and delivery across the team.\n\nMust Haves\n5+ years building, evaluating, and deploying production-grade Machine Learning systems for real-world use cases.\n\nStrong foundation in traditional ML (predictive modeling, tree-based models like XGBoost, time-series analysis on structured longitudinal data).\n\nRigorous evaluation and experimental design: statistical reasoning, offline/online evaluation, and a habit of identifying leakage, selection bias, and confounding in messy real-world data.\n\nAbility to explain model behavior, tradeoffs, uncertainty, and limitations clearly to both technical and non-technical stakeholders.\n\nExperience designing and analyzing experiments to determine what actually drives an outcome, not just what correlates with it.\n\nDepth in one or more of: causal ML and experimentation, recommendation/ranking systems, predictive modeling, or NLP/LLM-based systems.\n\nResponsible use of AI-assisted development to meaningfully accelerate and improve model development.\n\nNice to Haves\nBackground in clinical or health-tech ML (claims, EHR, clinical notes, scheduling, utilization, or member engagement data), and experience with PHI, HIPAA-aware systems, or other regulated data.\n\nJudgment about when traditional ML outperforms LLMs, and when an LLM is the right tool.\n\nValues-driven culture\nVirta's company values drive our culture, so you'll do well if:\nYou put people first and take care of yourself, your peers, and our patients equally\n\nYou have a strong sense of ownership and take initiative while empowering others to do the same\n\nYou prioritize positive impact over busy work\n\nYou have no ego and understand that everyone has something to bring to the table regardless of experience\n\nYou appreciate transparency and promote trust and empowerment through open access of information\n\nYou are evidence-based and prioritize data and science over seniority or dogma\n\nYou take risks and rapidly iterate\n\nIs this role not quite what you're looking for? Join our Talent Community and follow us on Linkedin to stay connected!\nVirta has a location based compensation structure. Starting pay will be based on a number of factors and commensurate with qualifications & experience. For this role, the compensation range is $161,500 to $232,500. Information about Virta’s benefits is on our Careers page at: https://www.virtahealth.com/careers.\nAs part of your duties at Virta, you may come in contact with sensitive patient information that is governed by HIPAA. Throughout your career at Virta, you will be expected to follow Virta's security and privacy procedures to ensure our patients' information remains strictly confidential. Security and privacy training will be provided.\nAs a remote-first company, our team is spread across various locations with office hubs in Denver and San Francisco. \nClinical roles: We currently do not hire in the following states: AK, HI, RI\nCorporate roles: We currently do not hire in the following states: AK, DE, HI, ME, MS, OK, SD, VT.\nVirta uses Ashby as its applicant tracking system, which incorporates AI-powered tools (provided by OpenAI, AWS, and Google Gemini) in certain aspects of the recruiting process, including application review, candidate screening, and interview note taking; your data is not used to train AI models, and all final hiring decisions are made by Virta Health personnel. For more information, see Virta’s AI Interview Resources page.https://www.virtahealth.com/careers/ai-interview-resources","description_format":"text","description_chars":7304,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"New York","iso":null,"kind":"city"},{"name":"San Francisco","iso":null,"kind":"city"},{"name":"Seattle","iso":null,"kind":"city"},{"name":"Alaska","iso":null,"kind":"city"},{"name":"Oklahoma","iso":null,"kind":"city"},{"name":"Delaware","iso":null,"kind":"city"},{"name":"Maine","iso":null,"kind":"city"},{"name":"South Dakota","iso":null,"kind":"city"},{"name":"Vermont","iso":null,"kind":"city"},{"name":"Rhode Island","iso":null,"kind":"city"},{"name":"Mississippi","iso":null,"kind":"city"},{"name":"Hawaii","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Telemedicine & Virtual Care","Weight Management","Care Coordination & Population Health"],"lifecycle":[{"event":"open","at":"2026-11-04T00:49:06Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2 · green card filings: 3","filings_12m":2,"filings_prev_12m":2,"green_card_filings_12m":3,"median_offered_wage_usd":197500,"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)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":56,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":232500,"is_top_pay":true},"html_url":"https://alion.io/job/virta-health-senior-engineer-machine-learning","json_url":"https://alion.io/job/virta-health-senior-engineer-machine-learning.json","meta":{"generated_at":"2026-11-04T08:50:45Z","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":13775,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":4631},"rest":"https://alion.io/mcp/rest/get_company?id=4631"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvirta-health-senior-engineer-machine-learning"},{"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%2Fvirta-health-senior-engineer-machine-learning"},{"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%2Fvirta-health-senior-engineer-machine-learning"},{"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/virta-health-senior-engineer-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvirta-health-senior-engineer-machine-learning"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3716075}},{"tool":"search_jobs","arguments":{"company":"virtahealth.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3716075},"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. Docs: https://alion.io/developers"}}