CesiumAstro
Senior Machine Learning Engineer II
Austin, TX · On-site · Senior · Full-time · Posted Feb 2, 2026
- Experience
- 6+ years; additional experience required for larger organizations.
- Education
- Bachelor’s or higher degree in Computer Science, Engineering, or related technical field.
- Visa sponsorship
- Applicants must be U.S. citizens, lawful permanent residents, conditional residents, asylees, refugees (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain required authorizations from the U.S. Department of State.
About the job
Develops, deploys, and maintains machine learning solutions and production ML services for distributed processing platforms.
What you'll do
- Build and maintain real-time deep learning pipelines, datasets, and model benchmarks.
- Improve monitoring and observability, and develop microservices that deliver ML capabilities to production.
- Enhance ML pipeline tooling and orchestration, collaborate on R&D, and document designs and operational practices.
What they ask for
- Bachelor’s or higher degree in Computer Science, Engineering, or a related technical field.
- 6+ years developing production-ready ML systems in small to medium-sized organizations; additional experience is required for larger organizations.
- Proficiency in Python and demonstrated experience implementing ML algorithms in production.
- Experience designing and maintaining APIs for ML services, and deploying and managing ML workflows in Kubernetes.
Nice to have
- Knowledge of microservice architectures and distributed data systems.
- Familiarity with aerospace or defense ML applications; experience contributing to early-stage or rapidly scaling teams.
Tools
Python, Kubernetes
AI focus
Develops and deploys deep learning and other ML capabilities for real-time processing and aerospace and defense applications.
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