Machine Learning Engineer

Exact Sciences is at the forefront of revolutionizing cancer prevention, detection, and treatment through innovative diagnostic solutions. As a Machine Learning Engineer, you'll be part of a mission-driven team working to make a real impact on healthcare outcomes.

The role combines cutting-edge AI/ML technology with practical applications in healthcare and cancer diagnostics. You'll work with biological, genomic, clinical, and healthcare data to develop solutions that directly contribute to cancer screening and precision oncology. The position offers a unique opportunity to apply advanced machine learning techniques in a meaningful healthcare context.

Working in both San Diego, CA or Madison, WI, you'll collaborate with biostatisticians, bioinformatics scientists, and data scientists in an Agile environment. The role requires expertise in Python programming and modern ML frameworks, with a focus on neural networks, deep learning, and natural language processing.

The compensation package is competitive, ranging from $112,700 to $192,050, plus bonus and stock eligibility. Exact Sciences offers comprehensive benefits including medical, dental, and vision insurance, paid time off, parental leave, and a retirement savings plan.

The ideal candidate will have either a Ph.D. or Master's degree with 4 years of experience in a relevant field. While the technical requirements are substantial, including expertise in AI/ML technologies and programming, the role also emphasizes collaboration, communication, and the ability to contribute to the company's broader AI strategy.

This position offers the opportunity to work at the intersection of technology and healthcare, with the potential to make a significant impact on cancer detection and treatment. The company culture emphasizes innovation, teamwork, and work-life balance, making it an attractive opportunity for those seeking both technical challenges and meaningful work.