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Applied research

Research & Development Engineer

Explore, evaluate, and improve the systems that turn an engineering task into a reviewable software change.

The role

Bring rigor to product experimentation. Develop hypotheses, build prototypes, and measure the quality of agent workflows so promising ideas can become reliable capabilities.

What you’ll do

  • Investigate planning, code understanding, tool use, and verification for engineering agents.
  • Build prototypes and evaluation harnesses with representative tasks.
  • Analyze failure modes and distinguish benchmark gains from practical improvements.
  • Compare model and workflow choices for quality, latency, and cost.
  • Collaborate with product engineers to turn validated research into maintainable implementations.
  • Document experiments, limitations, and reproducible results.

What you bring

  • Strong programming skills and experience implementing data-driven experiments.
  • Familiarity with LLMs, agent workflows, machine learning, or program analysis.
  • Ability to design meaningful evaluations and interpret noisy results carefully.
  • A solid understanding of software development, testing, and debugging.
  • Comfort reading research papers and translating ideas into practical prototypes.
  • Clear technical writing and an ability to work independently on uncertain problems.

Nice to have

  • Research publications, open-source research tooling, or substantial independent projects.
  • Experience with coding-agent evaluation, retrieval, or test generation.
  • Applied work on model reliability, security, or inference efficiency.

Your first priorities

  • Establish a reproducible baseline for a representative workflow.
  • Identify and quantify an important failure mode.
  • Deliver an evaluated prototype with a clear recommendation for next steps.

Working remotely

This is a remote role. Eligible hiring locations, working hours, collaboration overlap, and engagement terms will be discussed during the hiring process. We value clear writing, reliable follow-through, and making work visible to teammates.

How to apply

Share your relevant experience, a CV or professional-profile link, and a short example of work that shows how you approach problems. You do not need to match every nice-to-have to introduce yourself.

Read the Privacy Policy before providing personal information. Please do not include sensitive personal information or confidential work from a current or previous employer.

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