Senior ML Research Scientist

What you'll do

• Translate clinical and product needs into ML objectives, data strategies, model approaches, and success criteria; build and evaluate ML systems using clinical data.
• Design clinically meaningful evaluations, investigate model failure modes, and partner with engineering to productionize models and learn from real-world performance.
• Communicate research findings, contribute to the research roadmap, and mentor researchers and engineers.

What they ask for

• Applied experience in computer vision, NLP, or deep learning, including independently designing experiments and turning results into working systems.
• Experience owning substantial ML projects from data and modeling through production delivery.
• Strong hands-on ability in Python and PyTorch; experience with modern vision or multimodal techniques.
• MS, PhD, or equivalent practical experience in a related quantitative field.

Nice to have

• Experience in medical imaging, radiology, healthcare, or another high-stakes application area.
• Familiarity with clinical imaging modalities, DICOM, clinical validation, regulated environments, or distribution-shift evaluation.

Pay

$170K – $220K (USD, base salary)

Tools

Python, PyTorch

AI focus

Develop and evaluate multimodal AI for radiology, including vision and language methods; assess clinical reliability, robustness, calibration, and performance in real workflows.