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 through advanced AI and ML solutions. This role represents an exciting opportunity to work at the intersection of healthcare, artificial intelligence, and biotechnology.
The position involves developing and implementing cutting-edge AI/ML solutions for biological, genomic, clinical, and healthcare data applications. Working in collaboration with biostatisticians, bioinformatics scientists, and data scientists, you'll contribute to the company's strategic vision for applying advanced AI methodologies in cancer screening and precision oncology.
As a Machine Learning Engineer, you'll be responsible for the entire solution development lifecycle, from ideation to deployment. The role requires expertise in advanced AI concepts, including neural networks, deep learning, and natural language processing. You'll work in an Agile environment, focusing on rapid delivery of proof-of-concept solutions while maintaining high standards of quality and innovation.
The company offers a competitive salary range of $93,000 to $149,000, along with comprehensive benefits including medical, dental, and vision insurance, 401k, paid time off, and stock options. The position is based in either San Diego, CA or Madison, WI, with a 5% travel requirement.
This is an excellent opportunity for someone with a strong technical background (Ph.D. or Master's with experience) who wants to make a meaningful impact in healthcare while working with cutting-edge AI technologies. The role offers both technical challenges and the satisfaction of contributing to solutions that could help eradicate cancer through early detection and personalized treatment approaches.
Exact Sciences fosters an inclusive culture focused on employee development and well-being, making it an ideal environment for professionals looking to grow their careers while working on meaningful projects. The company's commitment to innovation and quality, combined with its mission-driven approach, creates an engaging and purposeful work environment.
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
- Travel 5% of working time
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 days
- Holiday pay
- Volunteer time
- Personal time
- Retirement savings plan
- Wellness support
- Health benefits
- Bonus eligible
- Company stock eligibility
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