Full-Time Senior Machine Learning Engineer

• Lead the technical effort and define the strategic vision for developing novel biomarkers in collaboration with partners from product, clinical development, and biostatistics.
• Design and build AI-based biomarkers on multimodal data (including whole-slide images) to predict molecular traits and patient outcomes; and evaluate emerging technologies to continuously enhance product capabilities.
• Architect and implement tools and processes to streamline the end-to-end model development lifecycle—from prototyping to production—ensuring efficiency, robust performance, regulatory compliance, and scalability.
• Develop and integrate mechanistic interpretability methods to explain model decisions, build customer trust, and drive actionable improvements.
• Drive and contribute to publications in scientific journals and presentations at machine-learning conferences.
• Mentor and coach a team of machine-learning scientists and engineers, fostering their technical growth and collaboration skills.

• 5+ years of industry experience using PyTorch or TensorFlow.
• 2+ years of experience as a technical lead, launching and monitoring machine-learning products in production environments.
• Proven ability to communicate complex ML concepts effectively to cross-functional, non-ML collaborators.

• Track record of research contributions, including peer-reviewed publications and conference presentations.
• History of external academic or industry collaborations.
• Experience with self-supervised representation learning (e.g., MoCo, DINOv2).

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