GPU Kernel and ML Systems Researcher (Research Coding Tasks)

Paid, remote contract work turning published ML systems and GPU kernels research into coding tasks for frontier AI agents. For PhD-level researchers and research engineers who publish and ship code.

Domain: ML Systems and GPU Kernels (CUDA, Triton and CUTLASS kernels, inference serving and ML compilers)

You start from a recent paper with released code, ideally your own. You remove the code that implements the paper's core contribution and package the rest as a task where an AI agent must rebuild it and beat the authors' results on the paper's own benchmarks. You write the task statement, define held-out evaluation workloads and per-metric pass thresholds, and supply a hidden reference solution plus a second solution showing the bar can be beaten. Later, you review agent attempts on your task.

$80/hr. Each task takes a few hours.

Work with your own research in a new format

Fully remote, asynchronous and flexible

$80/hr, with each task taking a few hours

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