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Machine Learning Engineer

Exact Sciences helps prevent, detect, and guide treatment for cancer through advanced screening and precision oncology solutions.
San Diego, CA, USAMadison, WI, USA
$93,000 - $149,000
Machine Learning
Mid-Level Software Engineer
In-Person
4+ years of experience
Healthcare · AI

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 technology. This role combines cutting-edge AI/ML expertise with healthcare impact, working on projects 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 contribute to both technical implementation and strategic vision, developing AI solutions that directly impact cancer care. Working in an Agile environment, you'll be involved in the complete solution development lifecycle - from ideation through deployment. The role requires expertise in advanced AI concepts, including neural networks, deep learning, and large language models, with practical experience in Python and major ML frameworks.

This position offers competitive compensation ($93,000-$149,000) plus bonus and stock eligibility, comprehensive benefits including health coverage, and paid time off. The company culture emphasizes innovation, teamwork, and making a meaningful impact in healthcare. You'll be part of a purpose-driven organization working to eradicate cancer through technological advancement.

The role provides growth opportunities through continuous learning, collaboration with expert teams, and exposure to cutting-edge AI applications in healthcare. Located in either San Diego, CA or Madison, WI, this position combines the excitement of AI development with the satisfaction of contributing to life-saving medical innovations.

Last updated a day ago

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/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
  • Contribute to AI strategy execution
  • Build training resources and knowledge bases
  • Travel 5% of working time

Requirements For Machine Learning Engineer

Python
  • 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

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • Paid time off
  • Retirement savings plan
  • Wellness support
  • Health benefits
  • Prescription drug coverage
  • Bonus eligible
  • Company stock eligibility

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