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Research Scientist

Engramme

San Francisco, CAFull-timePosted todayStill listed today

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Role Type
Research
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Doctorate

Job overview

Engramme’s Research Scientist will conduct fundamental research on memory systems, cognition, and AI to establish the scientific foundation for memory augmentation technologies. The role involves designing experiments, publishing findings, collaborating with engineers to bring research into products, and presenting results. The candidate will also stay current with developments in AI, NLP, and cognitive science and mentor research engineers.

Skills & qualifications

RequiredNice to have

Skills

ResearchMemory SystemsArtificial IntelligenceMachine LearningNatural Language ProcessingPython (Programming Language)Data AnalysisGeneral MathematicsInformation RetrievalMathematicsStatisticsML FrameworksWritten CommunicationVerbal CommunicationOpen-Ended Problem SolvingKnowledge RepresentationCognitive PsychologyNeuroscienceLarge Language ModelsRetrieval SystemsResearch LeadershipResearch-to-Product Transitions

Qualifications

PhD in Computer Science, Machine Learning, Cognitive Science or Related Field2+ Years Research ExperienceTop Conference PublicationsMemory Systems or Knowledge Representation ExperienceCognitive Psychology or Neuroscience BackgroundIndustry Research ExperiencePostdoctoral Research ExperienceResearch Team or Project Leadership Experience

Full job description

Conduct fundamental research on memory systems, cognition, and AI. Define the scientific foundation for next-generation memory augmentation technologies.

What You'll Do

  • Conduct original research on memory augmentation and contextual AI

  • 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 latest developments in AI, NLP, and cognitive science

  • Mentor research engineers and contribute to team growth

  • Present research findings to internal teams and external audiences

What We're Looking For

  • PhD in Computer Science, Machine Learning, Cognitive Science, or related field

  • 2+ years of research experience (academic or industry)

  • Track record of publications in top conferences (NeurIPS, ICML, ACL, etc.)

  • Deep expertise in machine learning, NLP, or information retrieval

  • Strong mathematical and statistical foundation

  • Proficiency in Python and ML frameworks

  • Excellent written and verbal communication skills

  • Ability to work on open-ended research problems

Nice to Have

  • Experience with memory systems or knowledge representation

  • Background in cognitive psychology or neuroscience

  • Industry research experience at top labs

  • Experience with large language models and retrieval systems

  • Postdoctoral research experience

  • Track record of research-to-product transitions

  • Experience leading research teams or projects

How this job compares

Set against the 2,171 open Research Scientist jobs on Olive Jobs, counted November 7, 2026.

Pay
  • This postingNot listed
  • California median$180–273K/yr498 salary ranges
  • US median$35–48/hr45 hourly ranges
Openings
Olive Jobs lists 738 open Research Scientist jobs in California and 2,171 across the US. 3% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 2 years of experience; Research Scientist postings that state a minimum ask for 3 years at the median (1,119 postings).
Education
This posting asks for a doctorate or professional degree; 771 of the 2,171 open Research Scientist jobs (36%) ask for a doctorate or professional degree.

Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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