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Senior Machine Learning Engineer

Job in Madison, Dane County, Wisconsin, 53774, USA
Listing for: Exact Sciences Corporation
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Senior Machine Learning Engineer page is loaded## Senior Machine Learning Engineer locations:
US - WI - Madison:
US - CA - San Diegotime type:
Full time posted on:
Posted 30+ Days Agojob requisition :
R25-8772
** Help us change lives
** At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.
** Position Overview
** The Sr. Machine Learning Engineer, with minimal guidance from more experienced engineers, works independently and in collaboration with others on multiple projects which are complex in scope. This role applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology.

This role is involved at every step of the solution development process, from ideation, design, implementation and deployment. This role strongly contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.
** Essential Duties
** Include, but are not limited to, the following:
* Maintain deep expertise in one or more AI technology areas. Clearly present and communicate relevance of technological advances as relevant to our work in biostatistics, bioinformatics and data science at Exact Sciences.
* Develop perspectives on “AI technology affordance”: what do these advances in AI technology allow us to do (more efficiently and / or more effectively) that we couldn’t do before.
* Work with stakeholders to discover and refine requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications.
* Collaborate with other ML/AI engineers and relevant partners to design software solutions that utilize state-of-the art artificial intelligence and machine learning techniques.
* Work with other AI and ML engineers and software engineers to implement and deploy ML and AI solutions.
* Work in an Agile framework focused on iterative, rapid delivery of proof-of-concept solutions.
* Contribute to the development of an AI strategy at Exact Sciences that empowers the team to leverage both existing AI and ML tools and those developed in-house to accelerate and enhance bioinformatics, biostatistics and data science processes and outcomes.
* Contribute to internal initiatives to build training resources, develop knowledge bases, and educate on advanced AI and ML technologies and best practices for leveraging them.
* Provide mentorship and coaching to more junior level team members.
* Act as resource and subject matter expert in core team and/or cross-functional meetings.
* Exercise discretion and judgment within broadly defined practices and policies in selecting methods and techniques and evaluation criteria for obtaining and interpreting results.
* Ability to apply strong communication skills and to explain difficult, sensitive, and/or complex information to audiences of peers.
* Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
* Support and comply with the company’s Quality Management System policies and procedures.
* Maintain regular and reliable attendance.
* Ability to act with an inclusion mindset and model these behaviors for the organization.
* Ability to work designated schedule.
* Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 85% of a typical working day.
* Ability to travel 5% of working time away from work location, may include overnight/weekend travel.
** Minimum Qualifications
*** Ph.D. in Statistics, Computational Biology,…
Position Requirements
10+ Years work experience
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