Senior ML Engineer - Health AI for Personalized Care

Royper Royco LLC; Denver, San Francisco (CO, CA); Hybrid; USD 162,000 - 233,000; Full time

Job summary

Virta Health is recruiting a Senior Engineer, Machine Learning for its Applied AI team. You will craft models from fuzzy clinical questions, validate baselines, and push them to production.

You’ll ensure models remain healthy, retraining when needed, and collaborate with clinicians, product analytics, and ML Ops to measure impact and maintain quality. This remote-first role supports Denver and San Francisco office hubs, with compensation aligned to experience and location.

Qualifications

• 5+ years building, evaluating, and deploying production-grade ML systems.
• Strong foundation in traditional ML (predictive modeling, tree-based models like XGBoost, time-series on structured longitudinal data).
• Rigorous evaluation and experimental design: statistical reasoning, offline/online evaluation, leakage/ bias in real-world data.

Responsibilities

• Problem Framing & Modeling: Turn ambiguous clinical questions into ML tasks with strong baselines.
• Model Delivery at Scale: Build predictive models that guide member care in production.
• Self-Maintaining Models: Implement per-model logic for retraining triggers and drift detection.
• Evaluation & Error Analysis: Design offline/online assessments and analyze model failures.
• Causal ML & Experimentation: Build causal models and collaborate on variance-reduction techniques.
• Signal Integration: Create signals for product features to guide coaching.
• Technical Leadership: Lead ML initiatives across teams and share best practices.

Skills

5+ years ML production

Traditional ML

Evaluation & experimentation

Explain model behavior

Experiment design

Causal ML & experiments

AI-assisted development

Tools

XGBoost

ML Platform

LLM-based systems

Job description

Virta Health is recruiting a Senior Engineer, Machine Learning for its Applied AI team. You will craft models from fuzzy clinical questions, validate baselines, and push them to production.

You’ll ensure models remain healthy, retraining when needed, and collaborate with clinicians, product analytics, and ML Ops to measure impact and maintain quality. This remote-first role supports Denver and San Francisco office hubs, with compensation aligned to experience and location.