Staff Machine Learning Engineer
Themis AI· Themis AI
Hybrid (Remote / Cambridge, MA)full-timePosted 10mo ago
About the role
Staff Machine Learning Engineer to lead development of high-performance Python-based ML libraries, translating research into scalable APIs and systems for uncertainty-aware AI infrastructure.
Responsibilities
- Support the design, development, optimization and testing of our core ML libraries
- Collaborate closely with AI research teams to translate new innovations into high-performance, easy-to-use APIs and scalable systems
- Contribute to architectural decisions and long-term technical roadmaps
- Drive strong engineering practices: code reviews, automated testing, CI/CD, docs, etc.
- Mentor engineers and help maintain a culture of technical rigor and mission alignment
Qualifications
- 5+ years of software engineering experience in Python and ML model development
- Deep understanding of machine learning fundamentals, particularly neural networks, optimization, probability theory, and linear algebra
- Strong software engineering practices: Git-based workflows, pull request reviews, testing infrastructure, release processes
- Major contributions to production-grade AI/ML frameworks, toolkits, or open-source tools
- Clear communicator with the ability to operate autonomously and prioritize effectively in a startup environment
- Experience working in high-performance, collaborative software teams
- Mission-driven mindset: you care deeply about building systems that matter
Skills
Required:PythonMachine Learning fundamentalsSoftware engineering practices
Last updated Sep 30, 2026. Interested? Apply on the company site.
About Themis AI
Make any AI model safe and reliable.
Themis AI | Make any AI model safe and reliable.
uncertainty quantificationmachine learningAI safety
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