Agentic AI Scientist
US - Durham - NC, United States
USD 137K-206K (estimate) Mid-level Full Time
Tasks
- Collaborate with cross-functional teams
- Communicate technical results to technical and non-technical audiences
- Deploy AI solutions
- Design multi agent systems algorithms
- Drive Agentic AI innovation
- Evaluate agent performance under uncertainty
- Implement autonomous decision making coordination policy learning
- Optimize reinforcement learning methods
- Publish research in peer-reviewed journals
- Review academic papers and monitor research advancements
- Transfer knowledge to IT engineering teams
Perks/Benefits
Skills/Tech-stack
Agent systems | CrewAI | Decision Processes | Deep learning | Digital Twins | Explainable AI | Federated Learning | Few-Shot Learning | Few-shot | Langgraph | Language Processing | Machine Learning | Markov Decision Processes | Meta Learning | Multi-Agent | Multi-Agent Reinforcement Learning | Multi-Agent Systems | Natural Language | Natural Language Processing | OpenAI Gym | Partially Observable Markov Decision Processes | PyTorch | Python | R | Ray RLlib | Reinforcement Learning | Stable Baselines | TensorFlow | Transfer Learning | Zero-Shot | Zero-shot Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Scientist | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
Regions
Countries
States
Cities
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