
Applied ML Engineer: Data Pipelines & Systems
Jetson home incRole Overview
Jetson home inc is hiring a mid-level Applied ML Engineer: Data Pipelines & Systems. This is a full-time role in Kitchener, Ontario. Part of Jetson home inc'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 leading home electrification company in Kitchener is seeking a candidate with strong data engineering and machine learning skills for a full-time position. You will design and maintain systems that influence energy optimization and scheduling. The ideal candidate has experience in production data systems and can collaborate effectively across teams. This position offers competitive compensation and benefits, including health and education support.
Frequently Asked Questions
How do I apply for the Applied ML Engineer: Data Pipelines & Systems position at Jetson home inc?
Use the Apply button above to submit your application directly to Jetson home inc. 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 Applied ML Engineer: Data Pipelines & Systems position at Jetson home inc located?
This position is based in Kitchener, Ontario. Jetson home inc has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Applied ML Engineer: Data Pipelines & Systems at Jetson home inc earn?
Jetson home inc 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 Applied ML Engineer: Data Pipelines & Systems role at Jetson home inc posted?
This role was posted on April 4, 2026 (65 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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