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 tools experiments
- Build and maintain multimodal ML pipelines
- Create self improving data evaluation loops
- Design agentic workflows across ML lifecycle
- Design and scale evaluation platforms with metrics and human feedback
- Improve testing reproducibility packaging and maintainability
- Integrate open source and internal components
- Own and evolve Python and PyTorch codebases
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Code maintainability | Data Processing | Debugging | Deployment | Evaluation | Experimentation | LLM Agents | Machine Learning | Multimodal Machine Learning | Packaging | Planning | PyTorch | Python | Reproducibility | System design | Testing | Tool use | Training orchestration | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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