Senior Research Engineer
Mem0San Francisco, CA, United States15 hours ago
Job type
- Full-time
Job descriptionExperience 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). 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. Mid-Senior level Full-time Engineering and Information Technology Technology, Information and Internet
Role Summary
Own the end-to-end lifecycle of memory features—from research to production. You’ll fine-tune models for extraction, updates, consolidation / forgetting, and conflict resolution; turn customer pain points into research hypotheses; implement and benchmark ideas from papers; and ship with Engineering to SOTA latency, reliability, and cost. You’ll also build evaluation at scale (offline metrics + online A / Bs) and close the loop with real-world feedback to continuously improve quality.
What You'll Do
- Fine-tune and train models for memory extraction, updates, consolidation / forgetting, and conflict resolution; iterate based on data and outcomes.
- Read, reproduce, and implement research : quickly prototype paper ideas, benchmark against baselines, and productionize what wins.
- Build evaluation at scale : automated relevance / accuracy / consistency metrics, gold sets, online A / B & interleaving, and clear dashboards.
- Work closely with customers to uncover pain points, turn them into research hypotheses, and validate solutions through field trials.
- Partner with Engineering to ship : design APIs and data contracts, plan safe rollouts, and maintain SOTA latency, reliability, and cost at scale.
Minimum Qualifications
Nice to Have
Compensation Range
$175,000.00 / yr - $210,000.00 / yr
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Research Engineer • San Francisco, CA, United States