MLOps Engineer, LLM Systems (Serving, GPU Kernels, Profiling)

At a glance

Pay

$90–$120/hrStated by Mercor Experts

Location

Canada, UK, US

Time commitment

Full-time, 40 hours

Experience

2+ years of professional work in ML systems, infrastructure, serving or accelerators

Work type

Coding / software engineering

Listed

Sep 16 to Oct 16

The work

Write and grade ML systems problems and their solutions, producing data used to train advanced AI models.

What you would do

• Create and solve challenging tasks on GPU kernels, profiling, debugging and inference serving
• Give written technical feedback on ML systems task solutions that withstands reviewer scrutiny
• Build guidelines and rubrics for judging kernel optimization and profiler output interpretation

You're a fit if you

• have two or more years of professional work in ML systems, serving or accelerators
• have hands-on large language model infrastructure experience, such as GPU kernel programming or performance profiling
• can commit full-time without other engagements

Summarised by HumanSourcer from Mercor Experts’ listing. Check the listing before you apply.

From Mercor Experts’ listing

“Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up.”