Minimum Qualifications

• Experience in RAG or information retrieval (retrieval, ranking, query understanding) for real products.
• Model training/fine-tuning experience (LLMs/encoders) with a strong footing in experimental design and iteration.
• Strong Python; deep experience with PyTorch and familiarity with vLLM and modern serving frameworks.
• Built evaluation for complex vision-and-language tasks (gold sets, offline metrics, online tests).
• Able to orchestrate data pipelines to run these models in production with low-latency SLAs (batch + streaming).
• Clear, concise communication with stakeholders (engineering, product, GTM, and customers).

Nice to Have:

• Publications at venues like CVPR, NeurIPS, ICML, ACL, etc.
• Experience with privacy-preserving ML (redaction, differential privacy, data governance).
• Deep familiarity with memory/retrieval literature or prior work on memory systems.
• Expertise with embeddings, vector-DB internals, deduplication, and contradiction detection.

Compensation Range: $175K - $250K