Senior Machine Learning Data Scientist

Drive Foundation Models:

• Set standards for reusable representations.
• Implement tooling for data processing.
• Evaluate model performance across multiple health features.

Model Development & Validation:

• Design deep learning approaches for physiological time-series data.
• Implement self-supervised and multimodal pretraining techniques.
• Deliver adapters/probes for diverse downstream tasks.

Collaboration & Publication:

• Lead collaborations with scientists, clinicians, engineers and product teams.
• Translate research advances into production features.
• Lead scientific publications to advance understanding of human physiology.