Senior Engineer, Machine Learning

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $161.5k - $232.5k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Virta Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

⚕️ Healthcare Insurance

🧘 Wellness

Healthcare • Healthcare Insurance • Wellness

Virta Health is a healthcare company focused on reversing type 2 diabetes and promoting sustainable weight loss through a nutrition-first approach. The company offers personalized treatment plans that help individuals reduce or eliminate the need for diabetes medications. Virta collaborates with organizations and healthcare providers to deliver transformative outcomes in metabolic care. Their approach is evidence-backed, emphasizing the importance of lifestyle and dietary changes to achieve lasting health improvements and weight management.

📋 Description

• Turn ambiguous clinical and operational questions into well-scoped ML tasks and build strong baselines • Build predictive models that drive member care and partner with product engineering to deliver signals to members and care teams • Build retraining triggers, drift and anomaly detection, and continuous evaluation logic to keep models healthy in production • Design offline and online evaluations and perform error analysis on model failures • Build causal models validated against clinical experiments • Partner with Product Analytics on CUPED/CUPAC variance-reduction techniques • Build ML- and GenAI-derived signals for personalized coaching and member experiences • Lead complex ML initiatives from problem framing through production • Coordinate technical decisions and dependencies across Applied AI, ML Ops, Product Engineering, and Product Analytics • Share knowledge and practices that improve model quality and delivery

🎯 Requirements

• 5+ years building, evaluating, and deploying production-grade Machine Learning systems for real-world use cases • Strong foundation in traditional ML, including predictive modeling, tree-based models such as XGBoost, and time-series analysis on structured longitudinal data • Rigorous evaluation and experimental design, including statistical reasoning, offline/online evaluation, and identifying leakage, selection bias, and confounding • Ability to explain model behavior, tradeoffs, uncertainty, and limitations to technical and non-technical stakeholders • Experience designing and analyzing experiments to determine causation rather than correlation • Depth in one or more of causal ML and experimentation, recommendation/ranking systems, predictive modeling, or NLP/LLM-based systems • Responsible use of AI-assisted development • Clinical or health-tech ML experience preferred • Experience with PHI, HIPAA-aware systems, or other regulated data preferred • Judgment about when traditional ML outperforms LLMs and when an LLM is appropriate • Ability to work in the United States • Compliance with Virta's security and privacy procedures for sensitive patient information governed by HIPAA

🏖️ Benefits

• Equity • Remote-first work arrangement • Office hubs in Denver and San Francisco • Security and privacy training • Location-based compensation structure

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume