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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
1,000 - 5,000 Employees
4+ years of experience
Healthcare · AI · Biotech

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 screening and precision oncology. This role combines cutting-edge AI/ML technology with healthcare and biological data to create impactful solutions in cancer diagnostics. The position offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, collaborating with biostatisticians, bioinformatics scientists, and data scientists.

The ideal candidate will have strong foundations in advanced AI concepts, including neural networks, deep learning, and natural language processing, along with practical experience in Python and major ML frameworks. They will contribute to all phases of solution development, from ideation to deployment, while working in an Agile environment focused on rapid delivery of proof-of-concept solutions.

The role offers competitive compensation ranging from $93,000 to $149,000, comprehensive benefits including medical, dental, and vision coverage, and the opportunity to receive company stock. Based in either San Diego, CA or Madison, WI, this position requires minimal travel (5%) and offers the chance to make a meaningful impact in cancer detection and treatment while working with state-of-the-art AI technologies.

Exact Sciences provides a supportive, inclusive culture focused on professional development and work-life balance, with benefits including paid time off for vacation, holidays, and volunteering, plus parental and caregiver leave. This is an excellent opportunity for someone passionate about applying AI/ML expertise to solve critical healthcare challenges while working for a purpose-driven organization.

Last updated 2 months 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 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 education initiatives
  • 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 including neural networks, deep learning, and reinforcement learning
  • Experience in NLP, image processing, computer vision, and pattern recognition
  • Knowledge of large language models and transformer architecture
  • Programming experience with 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
401k
Parental Leave
  • Paid time off (vacation, holidays, volunteering, personal time)
  • Paid parental and caregiver leave
  • Retirement savings plan
  • Wellness support
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Annual bonus eligible
  • Company stock eligibility

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