AI Engineer & Researcher - Agents
Skills
- Strong knowledge of reinforcement learning techniques
- Experience building infrastructure for large-scale RL and multi-agent RL
- Strong communication skills for concise knowledge sharing
Responsibilities
- Develop realistic agent environments and evaluation methods
- Design reinforcement learning (RL) algorithms for agents interacting with realistic environments
- Collect and curate human and synthetic data to improve agent system capabilities and behavior
Education
- PhD or equivalent advanced degree in AI or related scientific domains required
Benefits
- Competitive salary up to $440,000 yearly
- Hybrid work model with office presence expected 5 days a week and flexible work-from-home options
- Opportunity to work in a flat, highly motivated, and excellence-focused environment
Average salary estimate
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