Remote LLM Inference & Model Optimization Engineer
Red Hat, Inc.Role Overview
Red Hat, Inc. is hiring a mid-level Remote LLM Inference & Model Optimization Engineer. This is a full-time hybrid role, based in Ontario. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
A leading software solutions provider is seeking a Machine Learning Engineer in Toronto. In this role, you will focus on model optimization algorithms, collaborating closely with product and research teams to enhance LLM training pipelines and implement cutting-edge techniques. Applicants should have a strong grasp of deep learning, experience in Python machine learning solutions, and an educational background in computer science or a related field. This full-time hybrid role offers an exciting opportunity to shape the future of AI.
Frequently Asked Questions
How do I apply for the Remote LLM Inference & Model Optimization Engineer position at Red Hat, Inc.?
Use the Apply button above to submit your application directly to Red Hat, 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.
Is the Remote LLM Inference & Model Optimization Engineer role at Red Hat, Inc. remote or in-office?
This is a hybrid role based in Ontario. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
What does a Remote LLM Inference & Model Optimization Engineer at Red Hat, Inc. earn?
Red Hat, 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 Remote LLM Inference & Model Optimization Engineer role at Red Hat, Inc. posted?
This role was posted on March 22, 2026 (78 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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