Senior Machine Learning Engineer
At Raydar · Canada
Salary: $250K to $300K
- Data and ML
- Full-time
- Senior
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Where you can work from
Open to Canada and the United Kingdom
“Canada”
From the location.
“Remote (Canada or UK)”
From the job description.
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- Posted
- 29 October 2026
- First seen by us
- 30 October 2026
- Last checked
- 20 hours ago
Job description
From Raydar’s job post, as they wrote it.
About the company
Our client is a software company.
The role
Raydar is recruiting for this role on behalf of our client. Own the path that takes trained machine learning models into reliable production serving, with a focus on speed, efficiency and dependability at high request volume. The work combines performance tuning of models and GPU-based code with the design of distributed serving systems that run across many machines.
Read the full description
What you'll do
- Optimize serving latency and throughput for machine learning models.
- Take models from research through containerization and into stable production deployment.
- Profile and tune code to make efficient use of GPU hardware.
- Design and run distributed serving systems across multiple GPUs and nodes.
- Apply model acceleration methods such as quantization, batching and caching.
Requirements
What we're looking for
- Senior-level experience, comparable to a senior software or inference engineer at a large technology company.
- Track record of developing server-side or learning-based software and getting it running live for real users.
- Hands-on experience with machine learning inference optimization frameworks.
- Proficiency in systems programming and GPU optimization in languages such as C++, CUDA, Rust or optimized Python.
- Familiarity with methods that speed up and shrink models, such as weight compression, knowledge transfer between models or token prediction.
- Experience with distributed systems, container orchestration and handling high concurrency.
- Based in an eligible country for this remote role.
Bonus points
- Public technical work, such as open-source contributions to inference engines or detailed technical write-ups.
- A history of internal progression and promotions within one employer.
- A doctorate in a quantitative field, or equivalent hands-on systems experience, with study at a leading university as a further advantage.
Benefits
Compensation and benefits
- Base salary: $250K to $300K
- Equity
- Annual performance bonus
- Health, dental and vision coverage
- Flexible time off
- 401(k) retirement plan
- Health savings account
Location and work model
- Remote (Canada or UK)
- Full-time
Senior Machine Learning EngineerRaydar
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