Posting record
Open 10+ days
- Pinely'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 Pinely, so its true age is longer.
Last checked Nov 4, 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
We are seeking a highly motivated and skilled Senior Deep Learning Researcher to join our team. As an individual contributor, you will work alongside world-class researchers in a fast-paced environment, advancing AI and machine learning research with direct applications to HFT and MFT.
Responsibilities
- Conduct original machine learning research to push the frontier of market data modeling;
- Develop and experiment with modern deep learning architectures and training techniques;
- Extract meaningful insights from large, unstructured, and noisy datasets;
- Continually explore new methodologies and technologies to enhance research outcomes.
Requirements
- Extensive research experience in ML, demonstrated through publications at top-tier venues, a strong track record of impactful research projects, or a PhD in a related field;
- Strong background in machine learning, probability, and statistics;
- Deep understanding and hands-on experience with modern DL architectures and training methodologies, with particular expertise in Transformers and their variants.;
- Ability to work effectively with AI coding and research agents
What we offer
- High base salary, social benefits, and generous bonus structure;
- Access to cutting-edge compute, infrastructure, and engineering expertise to rapidly test and deploy ambitious ideas;
- Ownership of initiatives that directly solve business problems;
- Flexible working style and working schedule;
- High-autonomy environment with minimal bureaucracy and micromanagement;
- Tuition reimbursement, conference and training sponsorship.
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