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About the Role
Engramme is a Frontier AI lab spun out of Harvard focusing on AI x Human Memory. Persistent memory is a fundamental open problem at the heart of AI. Our vision is to build models of human memory, and to endow humans with perfect and infinite memory.
Responsibilities
- Build automated eval pipelines for memory retrieval, compression, and reconstruction.
- Design benchmarks for context retention, long-term consistency, and memory safety.
- Analyze model behavior, surface failure modes, and define quality metrics.
- Run large-scale experiments and maintain continuous evaluation systems.
- Develop internal tools, dashboards, and workflows for fast debugging.
- Integrate evals directly into production with backend + research teams.
Requirements
- Strong Python + ML framework experience.
- Background in eval pipelines, model testing, or benchmarking.
- Understanding of LLMs, embeddings, or retrieval systems.
- Ability to analyze failures, define metrics, and reason from first principles.
- Comfortable moving fast and owning core architecture.
Skills
- Python
- ML framework
- eval pipelines
- model testing
- benchmarking
- LLMs
- embeddings
- retrieval systems
- vector DBs
- similarity search
- interpretability
- distributed systems
- high-throughput pipeline
- ML tooling
- open-source contributions
- monitoring tools
- experiment-tracking tools
Location
- San Francisco
Work Type
- in-person
- 6-month contract
About the Company
- Engramme is a Frontier AI lab spun out of Harvard focusing on AI x Human Memory.
- Persistent memory is a fundamental open problem at the heart of AI.
- Our vision is to build models of human memory, and to endow humans with perfect and infinite memory.
- Before starting Engramme, the founding team has produced and commercialized extensive research in machine learning and neuro-science inspired memory models: Gabriel Kreiman (CEO & Co-founder): Professor of Neuroscience and AI, Harvard Medical School. Led key research on brain memory consolidation at Harvard University. Spandan Madan (CTO & Co-founder): PhD in Computer Science from Harvard, designed AI models which were commercially deployed at Adobe, Fujitsu, and Meta.