Research Engineer - Agent Memory
San Francisco, CA$175k - $250kFull-timePosted 3mo ago
About the role
Role focused on building the memory layer for AI agents, enabling long-term memory, memory extraction/updates/forgetting, and productionizing research ideas into scalable, low-latency solutions for enterprise and open-source usage.
Responsibilities
- Train models: Memory extraction, updates, consolidation/forgetting, and conflict resolution, iterating fast on real data and real outcomes.
- Live at the research frontier: Turn paper ideas into working prototypes in days, benchmark them honestly against baselines, and productionize the ones that actually win.
- Build the evaluation layer: Automated relevance/accuracy/consistency metrics, gold sets, online A/B and interleaving tests, and dashboards people actually check.
- Get close to the problem: Uncover what's actually breaking for customers, turn it into a testable hypothesis, and validate it through real field trials.
- Ship it for real: Design APIs and data contracts, plan safe rollouts, and hit SOTA latency, reliability, and cost, with Engineering, not over the wall from them.
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 language and/or retrieval and generation 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).
Skills
Required:RAG / information retrievalModel training / fine-tuning (LLMs/encoders)PythonPyTorch
Nice to have:vLLM and serving frameworks
Benefits
- Health, dental & vision coverage - Comprehensive plans, fully covered for you (and subsidized for dependents)
- Lunch & dinner, on us: Daily meals catered in-office
- Flexible PTO
- Equity in an early-stage company
- Regular team happy hours & events
- Top-tier equipment - The laptop and setup you need to do your best work
Last updated Aug 26, 2026. Interested? Apply on the company site.
About Mem0
The Memory layer for your AI apps
Mem0 provides a memory layer for LLM applications, enabling them to remember and learn from user interactions over time.
artificial-intelligencedeveloper-toolsgenerative-aiopen-sourceinfrastructure
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