ML and Agentic Systems Engineer
US, CA, Santa Clara, United States
USD 224K-431K Senior-level Full Time
Tasks
- Build AI native systems with code data experiments
- Build and maintain multimodal ML pipelines
- Create self improving feedback loops
- Design agentic workflows across ML lifecycle
- Design and scale evaluation platforms with metrics and human feedback
- Drive 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 | Data Processing | Debugging | Evaluation | Experimentation | Human Feedback | LLM tool-use | Language Models | Large Language Models | Machine Learning | Multimodal Machine Learning | Packaging | PyTorch | Python | Reproducibility | System design | Testing | Tool use
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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