Staff ML Engineer, Agent Training & Environments
Tasks
- Build RL training environments
- Build training and serving infrastructure
- Create fine tuning pipelines
- Design reward and task surfaces
- Develop verifiers and graders
- Implement rubric and pass at k scoring
- Improve fault tolerance for long running jobs
- Manage compute cost accounting
- Orchestrate distributed training jobs
- Run eval systems for agent trajectories
Perks/Benefits
Skills/Tech-stack
Apache Kafka | CI/CD | Cloud platform | Direct Preference Optimization | Google Cloud | Google Cloud Platform | GraphQL | Kubernetes | Machine Learning | MySQL | Node.js | Policy Optimization | PostgreSQL | Preference optimization | Proximal Policy Optimization | PubSub | Python | React.js | Redux | Reinforcement Learning | Spanner | TypeScript
Education
N/A
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