Software/ML Engineer

up to $150/hr

source wording: “$100 - $150/hr”

Platform: AfterQuery
Category: Coding & software eval
Eligibility: Worldwide
Freshness: posted 36d ago · seen live 34 min ago

What this role asks for

Part-time
Bachelor's
Electrical eng.

Read from the posting's own words: show the exact sentences

Part-time: “…batching, KV-cache optimization) Why apply - Remote, contract, part-time - Flexible — work on your own schedule Employment type: Contract Time commitment: 3…”
Bachelor's: “…and systems performance engineering Required qualifications - Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a…”
Electrical eng.: “…degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field - Strong, hands-on background in one or more of: GPU inference…”

The role, as AfterQuery describes it

We're assembling a group of senior software and ML engineers to work on one of the hardest open problems in AI today: how well can frontier models reason about LLM inference systems, GPU-level performance optimization, and model-serving architecture? You'll help design evaluation scenarios, write reference solutions, and grade model outputs on real systems-engineering problems — the same class of problems you likely work on day-to-day.

This is a research-and-evaluation role, not a traditional engineering job — you won't be shipping production code for us, you'll be defining what "correct" and "excellent" look like for AI models tackling the problems you already know deeply.

Read the rest of the description (5 more paragraphs)

Responsibilities - What You'll Do Design realistic technical scenarios and problem sets in LLM inference optimization, GPU kernel design, and systems performance engineering

Required qualifications - Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field - Strong, hands-on background in one or more of: GPU inference optimization, custom CUDA kernel development, model-serving systems (e.g., vLLM, TensorRT-LLM, SGLang), quantization, or optimizer design - Experience at a recognized technology or AI company, in a role with real systems-engineering ownership - Strong written communication — you'll be authoring technical explanations and feedback, not just code

Preferred qualifications - Direct experience with SGLang, Mamba/Mamba2 architectures, or IBM Granite-family models - Open-source contributions to inference/serving frameworks (vLLM, SGLang, TensorRT-LLM, etc.) - Experience with distributed inference (tensor/expert parallelism, continuous batching, KV-cache optimization)

Why apply - Remote, contract, part-time - Flexible — work on your own schedule

Employment type: Contract Time commitment: 3 hours/week Location: Remote Start date: 2026-07-22 Application deadline: 2026-07-22

Posted by AfterQuery, reproduced here so you can judge the role before clicking. Original posting ↗

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Source: platform job feed · first seen 22h ago · ID 1784753421052

Software/ML Engineer

The role, as AfterQuery describes it

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