Machine Learning Engineer

Responsibilities:

• Develop and evaluate AI-based biomarkers using multimodal data.
• Design, implement, and improve machine-learning models to predict patient outcomes and treatment response.
• Contribute to the end-to-end model development lifecycle.

Experience:

• 2+ years of industry experience using PyTorch or TensorFlow.
• Experience contributing to machine-learning systems deployed or maintained in production environments.
• Ability to clearly communicate complex technical concepts to cross-functional, non-ML collaborators.

Desired Skills:

• Experience working with large-scale image data or computer vision models.
• Familiarity with self-supervised representation learning.