Senior AI Scientist
Tasks
- Analyze AI conversations and user feedback
- Build RAG pipelines and retrieval mechanisms
- Collaborate to deploy improvements to production
- Define AI quality metrics
- Design prompt engineering strategies
- Develop evaluation frameworks and benchmarks
- Evaluate LLMs for product use cases
- Execute structured experiments for AI improvements
- Monitor production AI performance
- Recommend responsible AI practices
Perks/Benefits
- Annual company retreats
- Autonomy and flexibility
- Flexible core hours
- Paid annual leave
- Remote-first work environment
- Work equipment provided
Skills/Tech-stack
AI quality | AI quality metrics | Benchmarking | Conversational AI | Embeddings | Experimentation | Generative AI | Information Retrieval | LLM Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | Prompt evaluation | Python | Quality metrics | RAG Pipelines | Retrieval-Augmented Generation | SQL | Vector Databases
Education
N/A
Roles
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