Memory Systems Research Scientist - AI & Cognition

ENGRAM Lab; San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

ENGRAM Lab is seeking a PhD-level researcher to advance memory augmentation and contextual AI. You will design experiments, publish in top venues, and collaborate with engineers to translate research into products. You will mentor research engineers and help grow the team while staying abreast of AI, NLP, and cognitive science advances.

The role emphasizes deep ML/NLP expertise, strong math foundations, and excellent communication skills to articulate complex ideas to multidisciplinary audiences.

Qualifications

• PhD required in CS/ML/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.

Responsibilities

• 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.

Skills

Python

Machine Learning

NLP

Information retrieval

Mathematics

Statistics

Communication

Education

PhD in Computer Science / ML / Cognitive Science or related field

Job description

ENGRAM Lab is seeking a PhD-level researcher to advance memory augmentation and contextual AI. You will design experiments, publish in top venues, and collaborate with engineers to translate research into products. You will mentor research engineers and help grow the team while staying abreast of AI, NLP, and cognitive science advances.

The role emphasizes deep ML/NLP expertise, strong math foundations, and excellent communication skills to articulate complex ideas to multidisciplinary audiences.