Founding Machine Learning Engineer
vancouver, bc, Canada • Posted May 31, 2026
Job Type:
Full-time
Location:
vancouver, bc
Posted:
May 31, 2026
Category:
Engineering
Application Deadline:
July 10, 2026
Role Description
Overview
This range is provided by OnDeck AI (YC S25). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
CA$100,000.00/yr - CA$160,000.00/yr We’re looking for a generalist Machine Learning Engineer who loves to
build , has strong ML
and
engineering fundamentals, and has
excellent empirical intuition . You should have built something in the past that did not exist before, ideally doing novel (applied) research. We also strongly value experience building machine learning systems and working in early-stage startups. This will be full time, in person in our Vancouver office. Expect an environment that is fast, highly technical and uncompromising. Ideas move quickly, and we will challenge you to not just keep pace, but set it. You will have the option to move to SF too once we establish there. Our teams are kept small and agile to limit layers of unnecessary process. Auto...
This range is provided by OnDeck AI (YC S25). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
CA$100,000.00/yr - CA$160,000.00/yr We’re looking for a generalist Machine Learning Engineer who loves to
build , has strong ML
and
engineering fundamentals, and has
excellent empirical intuition . You should have built something in the past that did not exist before, ideally doing novel (applied) research. We also strongly value experience building machine learning systems and working in early-stage startups. This will be full time, in person in our Vancouver office. Expect an environment that is fast, highly technical and uncompromising. Ideas move quickly, and we will challenge you to not just keep pace, but set it. You will have the option to move to SF too once we establish there. Our teams are kept small and agile to limit layers of unnecessary process. Auto...
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