Machine Learning Engineer (Model Dev)

About the Role:

• Work closely with ML scientists, engineers, and cross-functional partners across the model-development lifecycle from prototyping to production deployment.
• Tackle challenging problems in medical AI including building models from digital pathology and clinical data.

Responsibilities:

• Develop and evaluate AI-based biomarkers using multimodal data including whole-slide images, clinical variables, and molecular data.
• Advance pathology foundation models and improve robustness across scanners, sites, and staining protocols.
• Apply interpretability methods, perform rigorous evaluation, and document experiments and technical decisions.

Experience Requirements:

• 1+ years of experience developing ML or deep learning models using PyTorch or TensorFlow, including relevant graduate research.
• Familiarity with oncology and biomarker development, real-world datasets, and appropriate evaluation metrics.
• Strong Python skills and ability to collaborate effectively in a cross-functional environment.

Compensation & Benefits:

• Base salary range of $140,000 - $180,000 plus equity.
• Unlimited paid time off and 401(k) matching.