A company is looking for a Machine Learning Engineer to develop AI-based biomarkers for cancer therapy personalization.
Key Responsibilities :
Develop and evaluate AI-based biomarkers using multimodal data
Design, implement, and improve machine-learning models to predict patient outcomes and treatment response
Collaborate with cross-functional teams to translate clinical questions into machine-learning solutions
Required Qualifications :
2+ years of industry experience using PyTorch or TensorFlow
Experience with machine-learning systems deployed in production environments
Familiarity with large-scale image data or computer vision models
Interest in healthcare, medical imaging, or applied machine learning
Experience with self-supervised representation learning or vision-language models is a plus
Machine Learning Engineer • Eugene, Oregon, United States