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.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 3+ years of experience
- PhD asked for
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.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Bridge the gap between cutting-edge research and production systems. Build and implement research prototypes that push the boundaries of memory augmentation and contextual AI.
What You'll Do
- Translate research papers and ideas into working prototypes
- Collaborate with research scientists to implement novel algorithms
- Build experimental systems for memory retrieval and contextual understanding
- Optimize research code for production deployment
- Design and run experiments to validate research hypotheses
- Contribute to research publications and technical documentation
- Bridge communication between research and engineering teams
What We're Looking For
- 3+ years of experience in research engineering or applied ML
- Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow)
- Experience implementing research papers and prototyping novel ideas
- Knowledge of machine learning fundamentals and deep learning
- Ability to work independently and manage research projects
- Strong problem-solving and analytical skills
- Experience with experimentation frameworks and A/B testing
- Good communication skills for cross-functional collaboration
Nice to Have
- Published research in ML, NLP, or related fields
- Experience with retrieval systems and vector databases
- Knowledge of cognitive science or human memory research
- Background in NLP or information retrieval
- Experience with large language models and embeddings
- Contributions to open-source ML projects
- PhD or Masters in Computer Science, ML, or related field
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