Associate Principal AI Scientist
US - Durham - NC, United States
USD 135K-203K (estimate) Mid-level Full Time
Tasks
- Apply Markov decision processes
- Apply partially observable Markov decision processes
- Collaborate with cross-functional teams
- Communicate results to technical and non-technical audiences
- Coordinate policy learning among agents
- Design implement and optimize autonomous decision algorithms
- Develop digital twin algorithms
- Drive innovation in agentic AI
- Evaluate agent performance under uncertainty
- Implement multi-agent reinforcement learning
- Present research at scientific forums
- Publish in peer-reviewed journals
- Review academic papers and attend conferences
- Transfer knowledge to IT engineering teams
Perks/Benefits
Skills/Tech-stack
Agent systems | Autonomous decision-making | CrewAI | Decision Making | Decision Processes | Deep learning | Digital Twins | GenAI | Langgraph | Language Processing | Machine Learning | Markov Decision Processes | Multi-Agent | Multi-Agent Reinforcement Learning | Multi-Agent Systems | Natural Language | Natural Language Processing | OpenAI Gym | Partially Observable Markov Decision Processes | Policy learning | PyTorch | Python | R | Ray RLlib | Reinforcement Learning | Stable Baselines | TensorFlow
Education
Regions
Countries
States
Cities
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