Principal Machine Learning Engineer
Seattle - United States - Seattle, Washington United States; Remote - Remote
R
USD 190K-305K (estimate) Senior-level Full Time
Tasks
- Advance agentic capabilities
- Architect and build production ML and evaluation systems
- Close loop between evaluation and product impact
- Develop and run automated judging and regression suites
- Establish reusable methods systems and quality standards
- Lead cross-organizational initiatives
- Make high leverage decisions on models and data strategy
- Provide technical leadership mentorship and design reviews
- Set technical vision for evaluation strategies
Perks/Benefits
Skills/Tech-stack
Agent systems | Dataset development | Deep learning | Experimentation | Fine Tuning | Inference Optimization | Information Retrieval | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Online Experimentation | Prompt engineering | Quality Assurance | Regression testing | Simulation
Education
N/A
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