Posted 9 days ago
Senior Machine Learning Engineer
@ Raydar
Remote in Canada
Overview
Raydar is recruiting on behalf of a software client for a senior machine learning engineer to take trained models into reliable, high-volume production serving. The role covers GPU performance tuning, model acceleration and distributed serving systems. Remote within Canada or the UK, full-time, with a $250K to $300K base salary plus equity and bonus.
Responsibilities:
- Optimize serving latency and throughput for ML models
- Take models from research into production deployment
- Profile and tune code for efficient GPU use
- Design and run distributed serving systems across GPUs and nodes
- Apply quantization, batching and caching methods
Requirements summary:
- Senior-level software or inference engineering experience
- Track record of getting server-side or ML software live for users
- Hands-on ML inference optimization framework experience
- Systems programming and GPU optimization in C++, CUDA, Rust or Python
- Distributed systems and container orchestration experience
- Based in an eligible remote country
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-10-28
- First seen by our source
- 2026-10-29
- Source record updated
- 2026-10-29
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Doctorate (preferred) |
| Fields of study | quantitative field |
| Perks mentioned | Generous paid time off, Flexible hours, Retirement plan, Performance bonus, Stock or equity |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Raydar
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Creating solutions for the future
Full company description
At Raydar we help innovative companies find the solutions they need to supercharge their growth. See website for full list of active open roles: www.raydar.xyz/open-roles
- LinkedIn followers
- 77,412
- People associated on LinkedIn
- 28
- Reported office locations
- 1514 17th St, 205, Santa Monica, California 90404, US
- Other recorded names
- Raydar
- Profile identifies a recruitment agency
- No
At Raydar we help innovative companies find the solutions they need to supercharge their growth. See website for full list of active open roles: www.raydar.xyz/open-roles
| Field | Value |
|---|---|
| Industry | Business Consulting and Services |
| Company size | 11-50 employees |
| Headquarters | Santa Monica, California |
| Organization type | Privately Held |
| Year founded | 2021 |
| Open jobs on Jobsy | 33 |
| View page |
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.
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
Journal
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