Sr. Engineer, Machine Learning Operations

Help us change lives

At Exact Sciences were helpingchange 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 youre working to help others.

Position Overview

The Sr. Engineer Machine Learning Operations with minimal guidance works independently and with crossfunctional partnersincluding biostatisticians bioinformatics scientists AI scientists and software engineersto deploy operate and scale machine learning solutions in production for advanced cancer screening and precision oncology applications. The role designs builds and maintains robust ML platforms and pipelines that ensure reliability security and compliance across the full model lifecyclefrom data ingestion model training versioning and evaluation through deployment monitoring and continuous improvement. This role serves as a key resource applying indepth practical knowledge of ML Operations software engineering and cloud infrastructure to solve complex problems across multiple projects ensuring AI/ML models are production-ready observable and aligned with the companys mission to help eradicate cancer.

Essential Duties

Include but are not limited to the following:

• Designs implements and maintains endtoend MLOps pipelines for training validation deployment and monitoring of ML and AI models used in cancer screening and precision oncology solutions.
• Builds and operates scalable secure ML infrastructure on cloud and container platforms (e.g. AWS/Azure/GCP Docker Kubernetes) to support batch and realtime inference workloads.
• Implements CI/CD workflows for ML (data model and code) including automated testing packaging and promotion of models across development staging and production environments.
• Establishes and manages model and data versioning experiment tracking and lineage to ensure reproducibility auditability and effective model governance.
• Develops and maintains monitoring logging and alerting for model performance data quality drift and system health defining and meeting SLOs/SLAs for critical ML services.
• Collaborates with data scientists bioinformatics and biostatistics partners and software/platform engineering teams to translate experimental workflows into productiongrade services integrated into customerfacing and internal applications.
• Uphold company mission and values through accountability innovation integrity quality and teamwork.
• Support and comply with the companys 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 on a mobile device tablet or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
• Ability to travel 5% of working time away from work location may include overnight/weekend travel.

Minimum Qualifications

• Bachelors Degree in a field related to essential duties; or Associates Degree and 2 years of relevant experience.; or High School Diploma or General Education Degree (GED) and 4 years of relevant experience.
• 5 years of relevant job-related experience.
• Demonstrated experience with Python at least one major ML framework (e.g. TensorFlow PyTorch scikitlearn) containerization and orchestration technologies (e.g. Docker Kubernetes) and a major cloud platform (e.g. AWS Azure GCP) supporting ML workloads.
• Demonstrated ability to perform the essential duties of the position with or without accommodation.
• Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications

• 2 years of life sciences industry experience working with biological data.
• 2 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.
• Scientific understanding of cancer biology
• Strong programming ability in Python and experience with at least one major ML framework (e.g. TensorFlow PyTorch scikit-learn).
• Hands-on experience deploying and operating machine learning models in production including experience with CI/CD pipelines model packaging and automated deployment.

Salary Range:

National Ranges: $ 123000.00 - $209000.00

California Ranges: $152000.00- $228000.00

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. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation please contact us here.

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We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability protected veteran status and any other status protected by applicable local state or federal law.

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