Senior / Staff ML Training Optimization Engineer
- Employment type
- Full-time · On-site
- Posted
- November 8, 2026
- NOC code
- 21231 — Software engineers and designers
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 33/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21231 — Software engineers and designers. Waabi is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Senior / Staff ML Training Optimization Engineer in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.
NOC code
21231 — Software engineers and designers. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
- Extensive experience in machine learning and deep learning
- Expertise in training optimization techniques
- Strong software engineering fundamentals
- Experience with large-scale model training
- Background in autonomous systems or related field preferred
Fit check
Is this role right for you?
Top skills this posting asks for:
- Machine Learning
- Training Optimization
- Deep Learning
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What you'll do
- Optimize machine learning model training pipelines
- Develop and improve training efficiency for autonomous systems
- Work on Physical AI technology for autonomous transportation
- Collaborate with world-class AI and autonomous vehicle teams
- Contribute to technology powering commercial autonomous trucks and robotaxis
- Drive innovation in ML training methodologies
What you'll need
- Extensive experience in machine learning and deep learning
- Expertise in training optimization techniques
- Strong software engineering fundamentals
- Experience with large-scale model training
- Background in autonomous systems or related field preferred
- Ability to work with world-class teams
- Collaborative and innovative mindset