Mem0
Research Engineer - Agent Memory
San Francisco Bay Area · Senior
Sponsorship not specifiedDetected 5 days ago
PythonMachine LearningPyTorchSparkData EngineeringLLMsRAGAgentic AIA/B TestingResearchExperimental DesignCommunicationCollaboration
About the role
- WHY THIS ROLE Every AI agent today forgets you the moment the session ends.
- This isn't research bolted onto a product team: you'll take an idea from a paper on Monday to an A/B test in production within weeks, with millions of real interactions to learn from.
- If you want your fine-tuning runs to ship, not sit in a notebook, this is that role.
Responsibilities
- Build the evaluation layer: Automated relevance/accuracy/consistency metrics, gold sets, online A/B and interleaving tests, and dashboards people actually check.
- 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.
- Model training/fine-tuning experience (LLMs/encoders) with a strong footing in experimental design and iteration.
- long-term memory that lets AI remember conversations, learn from interactions, and build real context over time, the difference between a chatbot and something that actually knows you.
- Join us in building the memory layer for the AI era.
Requirements
- Experience in RAG or information retrieval (retrieval, ranking, query understanding) for real products.
- deep experience with PyTorch and familiarity with vLLM and modern serving frameworks.
Nice to have
- Publications at venues like 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.
- Office-first collaboration: We're an in-person team in San Francisco.
- Extreme ownership: Everyone at Mem0 is a builder-owner.
- If you spot a problem or opportunity, you have the agency to fix it.
- Titles are light
Benefits
- Health, dental & vision coverage- Comprehensive plans, fully covered for you (and subsidized for dependents)
- Flexible PTO: Take the time you need to recharge, no rigid accrual counting
- Equity in an early-stage company- Real ownership in what you're building, not just a paycheck
Company info
- Uncover what's actually breaking for customers, turn it into a testable hypothesis, and validate it through real field trials.
- 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.
- Clear, concise communication with stakeholders (engineering, product, GTM, and customers).
This listing is sourced directly from Mem0's careers page and normalized into a canonical job model.