Role Overview
Curb is hiring a mid-level ML Engineer: Build & Scale AI Systems at a Pre-IPO. This is a full-time role in CA. Part of Curb's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
A pre-IPO technology company in Canada is seeking a skilled Machine Learning Engineer to design and scale ML-driven systems. You will collaborate with data scientists to develop models, optimize pipelines for deployment, and leverage cloud infrastructure. The ideal candidate has 4–8 years of experience, proficiency in Python and deep learning frameworks, and a solid understanding of big data tools. This is a unique opportunity to influence cutting-edge AI applications in a fast-growing company.
Frequently Asked Questions
How do I apply for the ML Engineer: Build & Scale AI Systems at a Pre-IPO position at Curb?
Use the Apply button above to submit your application directly to Curb. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the ML Engineer: Build & Scale AI Systems at a Pre-IPO position at Curb located?
This position is based in CA. Curb has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a ML Engineer: Build & Scale AI Systems at a Pre-IPO at Curb earn?
Curb has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the ML Engineer: Build & Scale AI Systems at a Pre-IPO role at Curb posted?
This role was posted on March 18, 2026 (87 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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