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Engramme

AI-powered personal memory and recall platform

Research Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • A PhD in Computer Science, Machine Learning, Cognitive Science, or a related field is required.
  • At least 2 years of academic or industry research experience is required.
  • A track record of publications in top conferences such as NeurIPS, ICML, and ACL is required.
  • Deep expertise in machine learning, natural language processing, or information retrieval is required.
  • A strong mathematical and statistical foundation is required.
  • Proficiency in Python and machine learning frameworks is required.
  • The ability to work on open-ended research problems is required.

Responsibilities

  • Conduct original research on memory augmentation and contextual artificial intelligence.
  • Design and execute experiments to test research hypotheses.
  • Publish findings in top-tier conferences and journals.
  • Collaborate with engineers to transition research into products.
  • Stay current with developments in artificial intelligence, natural language processing, and cognitive science.
  • Mentor research engineers and contribute to team growth.
  • Present research findings to internal teams and external audiences.

Desired Qualifications

  • Experience with memory systems or knowledge representation.
  • A background in cognitive psychology or neuroscience.
  • Industry research experience at top labs.
  • Experience with large language models and retrieval systems.
  • Postdoctoral research experience.
  • A track record of research-to-product transitions.
  • Experience leading research teams or projects.

About the Company

Engramme

AI-powered personal memory and recall platform

Engramme creates a subscription-based digital memory platform that acts as an external cognitive layer by using Large Memory Models to store, organize, and retrieve personal and professional data in a unified memory graph. Unlike typical AI, its LMMs continuously integrate new experiences via a Memory API to provide context-specific recall of past actions, conversations, or items. The company differentiates itself by grounding its approach in memory research and focusing on private, user-owned memory graphs rather than general answers. Its goal is to reduce forgetting by offering a persistent, reliable personal memory assistant.

Company size
11-50
Company stage
Seed
Total funding
$3M
Headquarters
San Francisco, CA
Founded
2025

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