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About the Role
Conduct fundamental research on memory systems, cognition, and AI. Define the scientific foundation for next-generation memory augmentation technologies.
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
Requirements
- 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
- 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
Skills
- Machine Learning
- NLP
- Information Retrieval
- Python
- ML frameworks
- Memory systems
- Knowledge representation
- Cognitive psychology
- Neuroscience
- Large language models
- Retrieval systems
Experience Level
- 2+ years of research experience
Education Level
- PhD