Machine Learning Engineer
Description For Machine Learning Engineer
Exact Sciences is seeking a Machine Learning Engineer to join their mission of revolutionizing cancer prevention, detection, and treatment guidance. This role combines cutting-edge AI/ML expertise with healthcare impact, working on complex problems involving biological, genomic, clinical, and healthcare data. The position offers an opportunity to work with state-of-the-art AI methodologies while collaborating with biostatisticians, bioinformatics scientists, and data scientists.
The ideal candidate will have advanced education in computational fields and hands-on experience with modern AI/ML technologies. They will contribute to both technical implementation and strategic vision, helping to advance the company's AI capabilities while maintaining a focus on practical healthcare applications. The role involves working in an Agile environment, delivering rapid proof-of-concept solutions, and participating in knowledge sharing and education initiatives.
This position offers competitive compensation ($93,000-$149,000) and comprehensive benefits, including healthcare coverage, retirement plans, and equity opportunities. The company culture emphasizes work-life balance with generous paid time off and support for professional development. Located in either San Diego, CA or Madison, WI, this role provides an opportunity to work on meaningful problems that directly impact patient care and cancer outcomes.
Responsibilities For Machine Learning Engineer
- Keep up with external and internal advances in AI technology
- Collaborate with ML/AI engineers to articulate AI affordance
- Work with stakeholders to discover requirements for ML and AI-based solutions
- Contribute to the design of software solutions using state-of-the-art AI/ML techniques
- Implement and deploy ML and AI solutions
- Work in an Agile framework for rapid delivery of proof-of-concept solutions
- Contribute to internal AI strategy and training resources
- Educate on advanced AI and ML technologies and best practices
Requirements For Machine Learning Engineer
- Ph.D. in Statistics, Computational Biology, Computer Science, or related field, or Master's degree plus 4 years experience
- Knowledge of advanced AI concepts including neural networks, deep learning, and reinforcement learning
- Experience in NLP, image processing, computer vision, pattern recognition
- Knowledge of large language models and transformer architecture
- Programming experience in Python and ML frameworks (TensorFlow, PyTorch, or SKLearn)
- Knowledge of open-source AI models
- Authorization to work in the United States without sponsorship
Benefits For Machine Learning Engineer
- Paid time off (vacation, holidays, volunteering, personal time)
- Paid leave for parents and caregivers
- Retirement savings plan
- Wellness support
- Medical coverage
- Dental coverage
- Vision coverage
- Annual bonus eligible
- Company stock eligibility
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