ML and Agentic Systems Engineer
US, CA, Santa Clara, United States
USD 224K-431K Senior-level Full Time
Tasks
- Apply testing reproducibility packaging and maintainability practices
- Build AI native systems for code and tooling interaction
- Build and maintain multimodal ML pipelines
- Create self improving feedback loops
- Design agentic workflows across ML lifecycle
- Design and scale evaluation platforms
- Drive debugging training orchestration and iteration
- Integrate open source and internal components
- Own and evolve Python and PyTorch codebases
Perks/Benefits
Skills/Tech-stack
AuthN | AuthZ | Automation | Benchmarking | Code Quality | Code agents | Data Pipelines | Debugging | Evaluation | Human Feedback | IAM | LLM | Machine Learning | Multimodal Machine Learning | Orchestration | Packaging | Planning | PyTorch | Python | Reproducibility | System design | Testing | Tool use | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Systems Engineer | Engineer | ML Engineer | Software Engineer | Systems Engineer
Regions
Countries
States
Cities
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