Senior Machine Learning Engineer, Agentic
Tasks
- Build evaluation harness for agent performance
- Build production AI agents
- Collaborate with applied AI teams to productionize agentic reasoning
- Define metrics and service level objectives
- Deploy fine tuned models to production
- Develop automated and human-in-the-loop evaluation pipelines
- Implement optimization pipelines for agent behavior
- Improve agents using reward modeling
- Monitor model performance and implement rollback strategies
- Translate research into reliable production systems
Perks/Benefits
- 401k matching
- Catered meals
- Employee events
- Employer-paid disability insurance
- Employer-paid life insurance
- Fertility benefits
- Health coverage for dependents
- Lifestyle spending account
- Mental health benefits
- Paid health insurance
- Paid time off
- Parental leave
- Sick time
Skills/Tech-stack
Artificial Intelligence | Direct Preference Optimization | Evaluation | Fine Tuning | Human-in-the-loop | Language Models | Large Language Models | Machine Learning | Model Distillation | Model Monitoring | Observability | Policy Optimization | Preference optimization | Prompt engineering | Proximal Policy Optimization | Reinforcement Learning | Reward Modeling | Service Level | Service-Level Objectives | The Loop
Education
N/A
Regions
Countries
States
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