Lead NLP / ML Researcher (LLM Evaluation & Agentic Systems)
Tasks
- Analyze model interpretability and mechanisms
- Build RAG and indexing evaluation approaches
- Collaborate with engineering and product teams
- Conduct benchmarking and ablation studies
- Design uncertainty and confidence methods
- Develop evaluation metrics and frameworks
- Lead LLM evaluation research
- Lead and co author research grant proposals
- Publish research articles
- Translate research into prototypes and production capabilities
Perks/Benefits
- Equipment budget
- Flexible hours
- Health checks
- Knowledge sharing
- Learning and development days
- Learning budget
- Mentorship
- Paid vacation
- Pair-coding
- Private health insurance
- Remote-first
- Team retreats
Skills/Tech-stack
AWS | CI/CD | Docker | Git | Groundedness | HPC | Hugging Face | LLM Evaluation | Language Processing | Machine Learning | Mechanistic interpretation | Model Interpretability | Multi-Agent | Natural Language | Natural Language Processing | OpenAI | PyTorch | Python | RAG | Reproducible Research | Semantic Search | TensorFlow | Transformers | Uncertainty Estimation
Education
Roles
LLM Researcher | Lead | Lead LLM Researcher | Researcher | Senior LLM Researcher
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