Remote Senior ML Engineer for Healthcare Outcomes

Virta Health; New York (NY); Remote; USD 162,000 - 233,000; Full time

Job summary

Virta Health seeks a Senior Engineer, Machine Learning on the Applied AI team to shape models that guide member care and coaching signals. You convert fuzzy clinical questions into deployable ML tasks, starting with simple baselines and growing complexity only when justified.

You’ll own production-grade models that stay healthy on a retraining platform and integrate with care teams. You’ll lead cross-functional work with ML Ops, Product Engineering, and Analytics, validating models with rigorous

Qualifications

• 5+ years building and deploying production-grade ML systems.
• Strong foundation in traditional ML and time-series on structured longitudinal data.
• Rigorous offline/online evaluation and leakage detection in messy data.
• Ability to explain model behavior and limitations to diverse stakeholders.
• Experience designing experiments to determine what actually drives outcomes.
• Depth in causal ML, recommendation systems, predictive modeling, or NLP/LLM-based systems.
• Responsible use of AI-enabled development to accelerate work.

Responsibilities

• Problem framing and modeling: turn clinical/operational questions into well-scoped ML tasks and establish strong baselines.
• Model delivery at scale: build predictive models and integrate signals into product-facing workflows.
• Self-maintaining models: implement per-model logic for retraining, drift, and continuous evaluation on the ML platform.
• Evaluation and error analysis: design offline/online tests, watch for imbalanced or noisy outcomes.
• Causal ML and experimentation: build validated causal models and collaborate on variance-reduction techniques to sharpen sensitivity.
• Signal integration: develop ML-and-GenAI-derived signals for coaching and member experiences.
• Technical leadership: guide complex ML initiatives from framing to production and share best practices across teams.

Skills

Production ML

Model Evaluation

Experimentation

Causal ML

ML Systems Design

Cross-functional Collaboration

Tools

XGBoost

Time-series analysis

NLP/LLM-based systems

ML Ops

Job description

Virta Health seeks a Senior Engineer, Machine Learning on the Applied AI team to shape models that guide member care and coaching signals. You convert fuzzy clinical questions into deployable ML tasks, starting with simple baselines and growing complexity only when justified.

You’ll own production-grade models that stay healthy on a retraining platform and integrate with care teams. You’ll lead cross-functional work with ML Ops, Product Engineering, and Analytics, validating models with rigorous