Senior Applied Scientist - Copilot & Agents
Tasks
- Analyze model behavior and failure modes
- Conduct technical investigations and model evaluations
- Define evaluation methodologies and benchmarks
- Develop LLM evaluation approaches
- Develop agentic workflows and multi step reasoning
- Implement retrieval-augmented generation
- Improve LLM reasoning grounding retrieval and agentic behaviors
- Optimize agents with reinforcement learning
- Orchestrate tools and agents
- Review designs and experimental results for rigor and reproducibility
- Run online experimentation and telemetry analysis
- Stay current with advances in large language models and reasoning systems
- Translate research into production-ready systems
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Data Analysis | Deep learning | Information Retrieval | LLM Reasoning | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Offline Benchmarking | Online Experimentation | Planning | Reinforcement Learning | Retrieval-Augmented Generation | Telemetry Analysis | Tool orchestration
Education
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