Senior/Staff Machine Learning Engineer (Model Dev) — United States

For our client, we are seeking a Senior/Staff Machine Learning Engineer (Model Dev) to join the team of a leader in the Healthcare space.

This role will shape the technical direction of patient-facing AI initiatives that support clinical decision-making and improve outcomes. The engineer will work across multidisciplinary teams to develop robust models, strengthen reproducibility, and advance a model development lifecycle that meets both research and regulatory expectations. The position also includes mentoring other team members, communicating complex ML concepts clearly, and contributing to the publication of research findings.

Location: Remote

Compensation: $180,000 – $240,000 annually

Responsibilities

• Lead the technical strategy for patient-facing AI products in collaboration with cross-functional teams

• Design and build AI-based biomarkers using multimodal data to predict patient outcomes

• Advance self-supervised foundation models and improve model generalization

• Ensure score reproducibility across different scanners and patient populations

• Develop mechanistic interpretability methods to strengthen clinician trust in models

• Streamline the model development lifecycle for efficiency and compliance

• Author regulatory documentation and represent AI work in project reviews

• Manage project timelines and surface risks and dependencies effectively

• Publish research findings and support collaborations across academic and industry settings

• Mentor ML staff and promote technical growth and collaboration

Qualifications

• 5+ years of experience building deep learning systems in PyTorch or TensorFlow

• 2+ years as a technical lead in launching and monitoring ML products

• Depth in oncology and biomarker development, with familiarity in cancer biology

• Demonstrated project management capability across multiple teams

• Proven communication skills for explaining complex ML concepts to non-ML collaborators

• Experience mentoring ML scientists and engineers

Benefits

• Equity is a core component of the compensation package

• 401(k) matching is offered

• Unlimited paid time off (PTO) available

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.