ML and Agentic Systems Engineer
US, CA, Santa Clara, United States
USD 224K-431K Senior-level Full Time
Tasks
- Build AI native systems for code and tool interaction
- Build and maintain multimodal ML pipelines
- Create self improving data and evaluation loops
- Design agentic workflows across ML lifecycle
- Design and scale ML evaluation platforms
- Improve testing reproducibility packaging and maintainability
- Integrate open source and internal components
- Own and evolve Python and PyTorch codebases
Perks/Benefits
Skills/Tech-stack
Automation | Benchmarking | Codebase Integration | Data Pipelines | Debugging | Evaluation | Experimentation | Human Feedback | LLM | Machine Learning | Multimodal Learning | Packaging | Planning | PyTorch | Python | Reproducibility | Software Engineering | System design | Testing | Tool use
Education
Regions
Countries
States
Cities
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