Position Overview The Machine Learning Engineer, with moderate guidance from more experienced engineers, works individually and in collaboration with others on multiple projects which are moderate to complex in scope. This role utilizes working 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 position contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and works 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: Keep up with external and internal advances in AI technology. Collaborate with other ML/AI engineers and relevant partners to articulate “AI affordance”: what do the advances in AI technology allow us to do (or do more efficiently or effectively) that we couldn’t do before? Work with stakeholders to discover 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 contribute to the design of software solutions that utilize state-of-the art artificial intelligence and machine learning techniques. Work with other AI and ML engineers and software engineers and contribute to the implementation and deployment of ML and AI solutions. Work in an Agile framework focused on iterative, rapid delivery of proof-of-concept solutions. Contribute to the execution 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. Exercise judgment within broadly defined practices and policies in selecting methods and techniques and evaluation criteria for obtaining and interpreting results. Ability to clearly communicate, and to explain basic to intermediate topics 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, Computer Science, or related quantitative field as outlined in the essential duties, or master’s degree in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties plus 4 years of experience in lieu of a Ph.D. Demonstrated knowledge of advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning. Demonstrated knowledge of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition. Demonstrated knowledge of large language models for generative AI and associated concepts, such as transformer architecture and retrieval augmented generation. Programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn. Knowledge of open-source AI models. Demonstrated ability to perform the essential duties of the position with or without accommodation. Authorization to work in the United States without sponsorship. 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. Basic knowledge of ML-Ops and processes for managing the versioning and deployment of machine learning models. Scientific understanding of cancer biology #LI-CB1 Salary Range: $93,000.00 - $149,000.00The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible, and is eligible to be considered for company stock at hire and on an annual basis. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage.