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Handshake

Connects talent with jobs and AI training work

Member of Technical Staff - Coding Agents

AI ResearchConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Demonstrated research capability, technical judgment, and a builder’s mindset; a specific degree or career path is not required.
  • Passion for building software with agents and regular experimentation with the latest coding agents.
  • Ability to operate in an ambiguous, fast-moving environment with substantial ownership.
  • At least one of the following: previous experience working on a coding benchmark; published research on AI for software or code generation at venues such as NeurIPS, ICLR, ICML, or COLM; or extensive software engineering experience or a strong GitHub profile of open-source contributions, together with deep knowledge of agent harnesses.

Responsibilities

  • Create and publish coding benchmarks that challenge state-of-the-art frontier agents.
  • Understand and shape the frontier of coding agents and where the field is headed, publishing studies of interesting or impactful findings.
  • Help leading AI labs improve their coding models.
  • Contribute publicly to the field through benchmarks, open-source tools, research, and technical writing.
  • Partner with AI researchers and software engineers to develop benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques for AI coding applications.
  • Develop evaluations that reflect real capability, create high-signal feedback, and build environments and data systems that make results actionable.

About the Company

Handshake

Connects talent with jobs and AI training work

Handshake connects job seekers, employers, and university career centers through recruiting software, and supplies AI labs with experts who train and test language models. Its career platform combines job matching, recruiting events, and profiles that show completed AI projects and paid training experience. Handshake AI recruits and matches fellows to projects where they review model answers, create training data, and apply knowledge from their own fields. Employers pay for recruiting subscriptions and promotions, while its enterprise AI team builds agents and trains models inside customers' systems. Handshake was founded in 2014 and is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series F
Total funding
$434M
Headquarters
San Francisco, CA
Founded
2014

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