Networked Systems Researcher (Research Coding Tasks)

AfterQuery

Pay not stated Location not stated Expert / credentialed

About the role

<p>Paid, remote contract work turning published networked systems research into coding tasks for frontier AI agents. For PhD-level researchers and research engineers who publish and ship code.</p>
<p><strong>Domain:</strong> Networked Systems (congestion control, datacenter networking, programmable networks and cluster scheduling)</p>
<p><strong>Requirements</strong></p>
<ul>
<li>Experience: published research with released code in networked systems</li>
<li>Education: PhD in CS or a related field, completed or in progress</li>
</ul>
<p><strong>The work</strong></p>
<p>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.</p>
<p><strong>Pay</strong></p>
<p>$200 per approved task. Each task takes a few hours.</p>
<p><strong>Application process</strong></p>
<p>Candidates who meet the requirements and provide the requested materials will be prioritised for review. As part of this process we conduct thorough background checks. Please apply only if you meet these requirements.</p>

Responsibilities:

  • Turn a published paper with code into an agent-solvable research coding task
  • Define held-out workloads, per-metric thresholds, a reference solution and a solution that beats the bar
  • Review AI agent attempts on your task

Required qualifications:

  • Published research at venues such as NSDI, SIGCOMM, IMC or CoNEXT, or comparable
  • Released code for at least one of your papers (GitHub or artifact link)
  • PhD in computer science or a related field, completed or in progress
  • Meets the experience and education bar described in Full Description

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