Senior Machine Learning Engineer II (EO/IR Image Analysis)
Rocket Lab Corporation, a company in aerospace and defense, is hiring for the role of Senior Machine Learning Engineer II (EO/IR Image Analysis). The posting gives Tucson, United States as the location. We classify it as a senior-level role in data and machine learning. The posting names TensorFlow, PyTorch, CI/CD, C, C++ and Python. Candidates need 8+ years of experience. A university degree is required. There are 179 open positions from Rocket Lab Corporation on this site, 39 of them in IT and engineering.
Posted 9 days ago · Last checked 2026-10-21
About Rocket Lab Corporation
Aerospace and defense Non-tech company with an IT team 179 open positions, 22% in IT and engineering. Most open roles: Non-software engineering and technicians (77), Operations and admin (22), Software engineering (general) (19).
Similar jobs
1,048 open data and machine learning jobs in the United States
- AI Research Scientist — Tanium, Addison, TX (Hybrid); Bellevue, WA (Hybrid); Durham, NC (Hybrid); Emeryville, CA (Hybrid); Reston, VA (Hybrid)
- Senior Data Analyst (Auth0) — Okta, Chicago, Illinois; New York, New York; Seattle, Washington; Washington, DC
- AI Engineer — Ignite Digital, San Diego, California, United States
- Senior Privacy Review Specialist (AI/LLM Governance) — Exadel Inc (Website), United States of America
- Data Scientist / Visualization Specialist - SCON — Accenture Federal Services, Washington, DC
- AI and Data Engineer — Accenture Federal Services, Tampa, FL
- Principal Data Scientist, User Ecosystem — Reddit, Remote - United States
- Senior Data Scientist, Pharmacy — Oscar Health, New York, New York, United States
| Workplace | Workplace not stated |
| Seniority | Senior |
| Role | Data and machine learning |
| Countries | United States |
| Languages | CC++PythonRust |
| Key facts | Stack: C, C++, Python, Rust, TensorFlow, PyTorch, CI/CD · Experience: 8+ years · Degree required · Security clearance required |
The full description is on the original posting. Labels are set automatically and can be wrong. About the data