Machine Learning Engineer

Exact Sciences is at the forefront of cancer prevention, detection, and treatment guidance through innovative medical solutions. As a Machine Learning Engineer, you'll join a purpose-driven team working to revolutionize cancer diagnostics using cutting-edge AI and ML technologies.

The role involves developing and implementing advanced AI solutions for biological, genomic, clinical, and healthcare data applications. You'll work closely with biostatisticians, bioinformatics scientists, and data scientists to create innovative solutions that contribute to the company's mission of eradicating cancer through early detection and personalized treatment approaches.

Key responsibilities include staying current with AI advances, collaborating on AI strategy, designing and implementing ML solutions, and working in an Agile environment. You'll contribute to proof-of-concept development, internal knowledge sharing, and the broader AI vision of the company.

The position requires either a Ph.D. or a Master's degree with 4 years of experience in relevant fields. Strong expertise in AI/ML concepts, including deep learning, neural networks, and large language models is essential. Experience with Python and major ML frameworks is required.

The compensation package is competitive, ranging from $93,000 to $149,000, with additional benefits including comprehensive healthcare coverage, retirement plans, and equity opportunities. The company offers a supportive work environment with opportunities for professional growth and meaningful impact in healthcare technology.

This role presents an excellent opportunity for ML engineers passionate about applying their expertise to meaningful healthcare challenges while working with a leading company in cancer diagnostics. The position offers both technical growth and the satisfaction of contributing to potentially life-saving medical innovations.