Tasks
Analyze loss patterns
Define technical metrics aligned with business goals
Design develop and deploy scalable agentic AI solutions for enterprise use cases
Design experiments
Drive improvements through system changes or training data enhancements
Facilitate goals and timelines
Implement evaluation frameworks
Implement optimize and advance AI techniques
Perform design and code reviews
Provide technical leadership on projects
Run experimentation cycles with hypothesis validation
Perks/Benefits
N/A
Skills/Tech-stack
AI Agents | Agent systems | Agentic AI | C++ | Data Mining | Deep learning | Evaluation | Experimentation | GenAI | Generative AI | Java | JavaScript | LLM | Language Models | Language Processing | Large Language Models | Loss analysis | Machine Learning | Multi-Agent | Multi-Agent Systems | NLP | Natural Language | Natural Language Processing | Optimization | Python | R | Recommendation Systems
Education
PhD | PhD in Computer Science
Roles
AI Research Scientist | Applied AI Research Scientist | Research Scientist | Scientist
Regions
North America
Countries
United States
States
California, US
Cities
Sunnyvale, California, US