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# Principal Machine Learning Engineer (10187) in Seattle

- **Company:** Energy Jobline
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Code Review, Databases, Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, NoSQL, Software Engineering, Google Cloud, Pytorch, Fastapi, Kubernetes, Information Technology, Build Process, TensorRT, Restful APIs, Docker
- **Published:** September 5, 2026
- **Apply:** https://www.energyjobline.com/job/principal-machine-learning-engineer-10187-seattle-31531651

## About the Role

About the Position, * Degree in mathematics/computer science or related discipline.

 * 10+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
 * 6+ years of experience in Python with an in-depth knowledge of its advanced features and libraries.
 * Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.
 * Proficient in Docker, Kubernetes, and modern CI/CD practices.
 * 4+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
 * Experience as a mentor, tech lead or leading an engineering team.

Qualifications:

 * MS or PhD in Computer Science or equivalent experience in ML.
 * Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).
 * Experience with NoSQL and document databases.
 * Proven ability to handle big data, optimize workflows, and improve system performance.
 * Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!



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