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 technology with healthcare and genomics, offering an opportunity to make a meaningful impact on cancer diagnostics. The position requires expertise in advanced AI concepts, including neural networks, deep learning, and natural language processing, with a focus on implementing solutions for biological and healthcare data.
The ideal candidate will work collaboratively with biostatisticians, bioinformatics scientists, and data scientists, contributing to both technical implementation and strategic vision. The role involves working in an Agile environment, developing proof-of-concept solutions, and maintaining a balance between innovation and practical application. With locations in both San Diego and Madison, the company offers a comprehensive benefits package including healthcare, stock options, and bonus eligibility.
This position requires either a Ph.D. or a Master's degree with 4 years of experience in relevant fields. The compensation range of $93,000-$149,000 reflects the company's commitment to attracting top talent. Exact Sciences provides a supportive, inclusive environment focused on professional development and work-life balance, making it an excellent opportunity for those passionate about combining technology with healthcare innovation.
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
- Support and comply with company's Quality Management System
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 (neural networks, deep learning, reinforcement learning)
- Experience with natural language processing, image processing, computer vision
- 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
- Health benefits including medical, prescription drug, dental, and vision coverage
- Bonus eligible
- Company stock eligibility
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