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Machine Learning Engineer

2 months ago

San Diego, California, United States Exact Sciences Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Exact Sciences. As a key member of our data science team, you will be responsible for designing, developing, and deploying advanced machine learning models to drive business growth and improve patient outcomes.

Key Responsibilities
  • Design and develop complex machine learning models using advanced algorithms and techniques
  • Collaborate with cross-functional teams to integrate machine learning solutions into our products and services
  • Work with large datasets to identify trends and insights that inform business decisions
  • Develop and maintain high-quality software code to ensure efficient and scalable machine learning solutions
  • Stay up-to-date with the latest advancements in machine learning and AI to ensure our solutions remain cutting-edge
Requirements
  • Ph.D. in Statistics, Computational Biology, Computer Science, or related quantitative field
  • Demonstrated knowledge of advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning
  • Programming ability with demonstrated experience in Python and one or more associated machine learning frameworks
  • Knowledge of open-source AI models and large language models for generative AI
  • Ability to work in an Agile framework and contribute to the execution of an AI strategy
Preferred Qualifications
  • 1+ years of life sciences industry experience working with biological data
  • 1+ years of industry experience in molecular diagnostics, preferably cancer diagnostics
  • Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data
What We Offer

At Exact Sciences, we offer a competitive salary range of $93,000 to $149,000 per year, plus bonus eligibility and company stock. We also offer a comprehensive benefits package, including medical, prescription drug, dental, and vision coverage, as well as paid time off and retirement savings plan.

We are an equal employment opportunity employer and welcome applications from diverse candidates. If you require an accommodation, please contact us here.