ML Research Engineer — Inference & GPU Kernels
About the role
From AfterQuery’s listing.
Pay: $135/hour
We're building a research cohort of senior domain experts in ML inference and GPU kernel engineering — spanning inference serving systems, kernel optimization, and large-model deployment infrastructure — to help evaluate how frontier AI models reason about hard, real-world expert-level problems. This is research-and-evaluation work, not production engineering: you'll be defining what "correct" and "excellent" look like on problems you already know deeply.
- Domain: Machine Learning / AI
- Experience: 6–10 years
- Education: PhD/Doctorate, or Master's with a strong research record
Candidates who meet the requirements and provide the requested materials will be prioritized for review. As part of this process, we conduct thorough background checks. Please apply only if you meet these requirements — candidates who meet fewer than 70% of the stated qualifications may be flagged for misrepresenting their professional experience, which could affect eligibility for future project staffing.
Who can apply
The listing only says “Remote”. That doesn’t mean worldwide. Check country eligibility on AfterQuery before you spend time on it.
How AfterQuery screens people
- 01Apply to the listing for your field.
- 02Expect a screening task that looks like the real work.
Before you apply
- No real platform charges you to apply or to “unlock” work.
- Apply to two or three platforms, not one. Acceptance is never certain.
- It’s contract work in projects. Hours vary week to week.