Amazon Sr Manager Applied Science Amazon Special Projects 

United States, Washington, Seattle 

364694098

We are seeking a Sr. Manager, Applied Science to lead and build our science team focused on machine learning applications in life sciences. The role combines scientific leadership with people management responsibilities to drive innovative solutions. The role requires balancing exploratory research with delivering production-ready solutions while maintaining high scientific standards. You will work with Amazon's large-scale computing resources to accelerate advances in machine learning applications.
Key job responsibilities
- Lead ML for life science efforts using computational design approaches and ML-based tools.- Transform complex real world problems into scientific challenges and allocate resources effectively.
- Review requirements, conduct technical architecture reviews, and make informed judgments around technical and business tradeoffs.
- Provide mentorship to Applied Scientists, Research Scientists and Data Scientists while maintaining scientific rigor.

- Deep expertise in machine learning, with broad knowledge across biology and life science.
- Experience managing technical teams.
- Strong understanding of scientific methodologies and experimental design.
- Ability to guide teams in developing production-level code and systems.
- Track record of leading cross-functional scientific teams and fostering collaboration.
- 10+ years as a scientist or science manager.
- PhD in computer science, computational biology or relevant field .

- Experience with deep learning frameworks (PyTorch, TensorFlow).
- Familiarity with high-performance computing environments.
- Experience with molecular modeling software and structural biology tools.
- 5+ years of management experience.