Posting record
Open 6+ days
- Engramme's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Engramme, so its true age is longer.
Last checked Nov 3, 2026.
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What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
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Skills mentioned
About the role
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
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