Senior AI/ML Engineer
Listed on 2026-07-25
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Why Sarepta? Why Now?
The promise of genetic medicine has arrived, and Sarepta is at the forefront. We hold a leadership position in Duchenne muscular dystrophy (Duchenne) and are building a robust portfolio of programs across muscle, central nervous system, and cardiac diseases. In 2023, we launched our fourth therapy and the first ever gene therapy to treat Duchenne.
We’re looking for people who see unlimited potential in themselves and who are motivated by an unwavering commitment to patients.
What Sarepta OffersAt Sarepta, we care deeply about all the people in our community and believe in the importance of supporting them in all aspects of their lives. We aspire to maintain a culture that acknowledges people bring their whole selves to work, and we will strive to help everyone in our community integrate their work and personal lives while maintaining productivity. We are committed to offering a range of benefits and work-life resources designed to support people in the following areas:
- Physical and Emotional Wellness
- Financial Wellness
- Support for Caregivers
For a full list of our comprehensive benefits, see our website:
The Importance of the RoleSarepta Therapeutics is seeking a highly motivated and experienced Senior AI/ML Engineer to join our technology teams. This is a unique opportunity to be a foundational member of a new innovative team that will drive adoption of artificial intelligence and machine learning across the organization. The successful candidate will deliver prioritized AI/ML use cases—initially focused on R&D workflows and expanding into clinical and regulatory use cases as capabilities mature—while operating within enterprise architecture, governance, and data standards.
This role requires deep technical expertise, strong problem framing, and the ability to collaborate and communicate effectively with cross-functional teams.
- Use Case Delivery and Implementation:
Design, build, and deploy scalable and robust machine learning models embedded in real workflows, with measurable outcomes. - Solution Evaluation and Implementation:
Evaluate internal approaches and vendor-provided AI/ML technologies as needed, ensuring solutions meet scientific and business requirements and align to approved platforms. - Cross-Functional Collaboration:
Partner with stakeholders from R&D, Clinical Operations, Regulatory Affairs, and other departments to understand needs and translate them into data science questions and production solutions; provide guidance and enablement to colleagues. - Data and Infrastructure:
Work closely with IT, Enterprise Data Systems (EDS), and data engineering teams to ensure the availability, quality, and governed use of data required for AI/ML initiatives. - Governance and Traceability:
Ensure outputs are explainable where appropriate, traceable, reproducible, and aligned with established governance and validation expectations, including adherence to enterprise data governance standards. - Innovation and Research:
Stay abreast of advances in machine learning, artificial intelligence, and data science; explore practical approaches that can be applied to Sarepta's business challenges.
Master's or Ph.D. in a quantitative field such as Computer Science, Data Science, Statistics, Computational Biology, or a related discipline.
Experience- 5+ years of experience with 3+ years of hands‑on experience in data science and machine learning, with a track record of developing and deploying AI/ML models in a corporate environment.
- Experience operating in fast‑paced, evolving environments and collaborating effectively across disciplines.
- Expert proficiency in programming languages such as Python or R.
- Extensive experience with machine learning libraries and frameworks (e.g., Scikit-learn, Tensor Flow, PyTorch).
- Strong knowledge of SQL and experience working with relational and non-relational databases.
- Hands‑on experience with cloud computing platforms, preferably Amazon Web Services and Snowflake.
- Solid understanding of software engineering best practices, including version control (Git), testing, and CI/CD.
- Excellent problem‑solving and…
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