Machine Learning Engineer

Job Summary

To improve cancer care through AI biomarkers, the full-time remote Machine Learning Engineer will develop and evaluate multimodal data models, collaborate with cross-functional teams, and contribute to the model-development lifecycle from prototyping to deployment.

Key responsibilities:

• Develop and evaluate AI-based biomarkers using whole-slide images and clinical data to predict patient outcomes
• Contribute to the development of self-supervised foundation models and various machine-learning models
• Collaborate with ML scientists and engineers, as well as clinical and regulatory partners throughout model development and validation

Required qualifications:

• 1+ years of experience in developing machine-learning or deep-learning models using PyTorch or TensorFlow
• Familiarity with oncology, biomarker development, and clinical endpoints
• Strong Python programming skills and knowledge of modern software-development practices
• Experience with real-world datasets and evaluating machine-learning models using appropriate metrics
• Ability to analyze experimental results and communicate findings clearly