Senior ML Engineer – Health AI for Patient Care (Remote)

Creandum; San Francisco (CA); Teletrabalho; USD 162 000 - 233 000; Tempo integral

Resumo da oferta

Virta Health seeks a Senior Engineer, Machine Learning on the Applied AI team to shape member care through predictive models, ranking signals, and GenAI-derived insights. From fuzzy clinical questions to production-ready solutions, you’ll drive end-to-end ML delivery and model health across a scalable platform.

You will collaborate with product engineering, ML Ops, clinicians, and analytics to ensure robust, responsible AI that improves outcomes while maintaining compliance and data privacy.

Qualificações

• 5+ years building, evaluating, and deploying production-grade machine learning systems.
• Strong foundation in traditional ML (predictive modeling, tree-based models like XGBoost, time-series analysis on structured longitudinal data).
• Rigorous evaluation and experimental design: statistical reasoning, offline/online evaluation, and a habit of identifying leakage, selection bias, and confounding.
• Ability to explain model behavior, tradeoffs, uncertainty, and limitations clearly to both technical and non-technical stakeholders.
• Experience designing and analyzing experiments to determine what actually drives an outcome, not just what correlates.
• 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 to meaningfully accelerate and improve model development.

Responsabilidades

• Turn ambiguous clinical and operational questions into well-scoped ML tasks, and build strong baselines before adding complexity.
• Build predictive models that drive member care, like who is at risk of disengaging or where a member's health is trending, and partner with product engineering to deploy signals to members and care teams.
• On top of the ML platform, implement per-model logic for retraining triggers, drift and anomaly detection, and continuous evaluation with compliance in mind.
• Design offline and online evaluations, choose metrics for imbalanced, delayed, and noisy healthcare outcomes, and perform careful error analysis on model failures.
• Build causal models validated against real clinical experiments, partnering with Product Analytics on variance-reduction techniques.
• Develop ML-and-GenAI-derived signals for product squads to guide coaching and member experiences.
• Lead complex ML initiatives from problem framing through production, coordinating decisions across Applied AI, ML Ops, Product Engineering, and Product Analytics.

Conhecimentos

Production-grade ML systems

Traditional ML techniques

Evaluation & experimentation

Explain model behavior

Causal ML & experimentation

Signal integration

Technical leadership

Ferramentas

XGBoost

Time-series libraries

Descrição da oferta de emprego

Virta Health seeks a Senior Engineer, Machine Learning on the Applied AI team to shape member care through predictive models, ranking signals, and GenAI-derived insights. From fuzzy clinical questions to production-ready solutions, you’ll drive end-to-end ML delivery and model health across a scalable platform.

You will collaborate with product engineering, ML Ops, clinicians, and analytics to ensure robust, responsible AI that improves outcomes while maintaining compliance and data privacy.