Hybrid ML Infrastructure Engineer — Scale AI Pipelines
Later GroupRole Overview
Later Group is hiring a mid-level Hybrid ML Infrastructure Engineer — Scale AI Pipelines. This is a full-time hybrid role, based in Vancouver, British Columbia. Part of Later Group's Data Science hiring. The posted range is $145k to $165k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
An innovative tech company is seeking a Machine Learning Infrastructure Engineer in Vancouver, BC. You will develop and maintain scalable ML systems and establish best practices for model management. The ideal candidate has over 4 years of experience in ML Ops and is skilled in AWS/GCP environments. The position supports high-impact AI initiatives, allowing teams to innovate rapidly while ensuring system reliability and performance. The salary range is $145,000 - $165,000 CAD.
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Frequently Asked Questions
How do I apply for the Hybrid ML Infrastructure Engineer — Scale AI Pipelines position at Later Group?
Use the Apply button above to submit your application directly to Later Group. 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.
Is the Hybrid ML Infrastructure Engineer — Scale AI Pipelines role at Later Group remote or in-office?
This is a hybrid role based in Vancouver, British Columbia. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
How much does the Hybrid ML Infrastructure Engineer — Scale AI Pipelines role at Later Group pay?
Later Group has posted a compensation range of $145k to $165k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Hybrid ML Infrastructure Engineer — Scale AI Pipelines role at Later Group posted?
This role was posted on March 16, 2026 (83 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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