Member of Technical Staff, Coding Agents

Handshake
San Francisco +1 more
Remote

Who this role is best for

A natural match if you have experience in AI for coding and a builder's mindset.

Best fit for

  • Candidates with experience in developing coding benchmarks or open-source AI tools
    — “Previous experience working on a Coding benchmark.”
  • Researchers with a track record of publishing in top AI conferences like NeurIPS or ICLR
    — “Published research on AI for Software / Code-Generation at NeurIPS, ICLR, ICML, COLM, etc.”
  • Individuals who thrive in ambiguous, high-impact environments with substantial ownership
    — “Comfort operating in an ambiguous, fast-moving environment with substantial ownership.”

Things to consider

  • The role requires a strong ability to influence technical direction and culture at an early stage
    — “Early members of the team will have unusual influence over our technical direction, operating culture, and the open-source software, benchmarks, and research products we build.”
  • Candidates must be prepared to work in a US-based environment, with San Francisco preferred
    — “Location: San Francisco preferred; we are open to exceptional candidates in other locations.”

How to stand out

  • Highlight contributions to open-source coding agent tools and published evaluations
    — “Publicly contribute to the field through benchmarks, open-source tools, research, and technical writing.”
  • Emphasize experience in shaping AI evaluation methodologies or data-quality techniques
    — “You will work on questions at the center of frontier AI progress: what should be measured, how to design evaluations that reflect real capability...”
  • Showcase ownership of projects and influence over technical direction in prior roles
    — “Early members of the team will have unusual influence over our technical direction...”
  • Demonstrate deep knowledge of agent harnesses and coding agent applications
    — “Extensive software engineering experience or strong GitHub profile of OSS contributions, along with deep knowledge of agent harnesses.”
  • Include specific examples of creating or publishing coding benchmarks or evaluations
    — “Create/publish Coding benchmarks that challenge state-of-the-art frontier agents.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Industry

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • defining how frontier coding agents are benchmarked and improved
  • partnering with the world’s top AI researchers
Typical background
passion for building software with agentsoperating in an ambiguous, fast-moving environment

Skills & requirements

Required

Coding Benchmark DevelopmentCoding Agent Evaluation MethodologiesData-quality TechniquesResearch CapabilityTechnical JudgmentBuilder's Mindset

Preferred

Coding Benchmark ExperiencePublished Research On AI For Software / Code-generationExtensive Software Engineering ExperienceStrong Github Profile Of OSS ContributionsDeep Knowledge Of Agent Harnesses

Stack & domain

Coding BenchmarksAI For SoftwareCode GenerationAgent-evaluation MethodologiesData-quality TechniquesOpen-source ToolsResearchTechnical WritingPassionOwnershipAmbiguity HandlingFast-moving EnvironmentAICoding AgentsSoftware Engineering

About the role

Original posting from Handshake via Ashby

ABOUT HANDSHAKE

Handshake's mission is to organize expert human knowledge to advance the AI economy. Handshake AI works directly with frontier labs on their most consequential data, evaluation, and post-training challenges, building the systems that turn expert human knowledge into the data and evaluations that make frontier models better.

You will work alongside engineers, researchers, operators, and builders from organizations including Scale AI, Meta, Google, Amazon, xAI, Notion, and Palantir—and help build the systems that make expert human knowledge useful for advancing AI.

THE ROLE

We are hiring a Member of Technical Staff to help define how frontier coding agents are benchmarked and improved. This is a broad, high-ownership role for researchers who build.

You will partner with the world’s top AI researchers and thousands of software engineers to develop new benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques, centered around applications of AI for Coding. You will work on questions at the center of frontier AI progress: what should be measured, how to design evaluations that reflect real capability, how to create high-signal feedback, and how to build the environments and data systems that make those answers actionable.

Early members of the team will have unusual influence over our technical direction, operating culture, and the open-source software, benchmarks, and research products we build. We care more about demonstrated research capability, technical judgment, and a builder's mindset than a specific title, degree, or career path.

Location: San Francisco preferred; we are open to exceptional candidates in other locations.

WHAT YOU'LL DO

  • Create/publish Coding benchmarks that challenge state-of-the-art frontier agents.
  • Understand/shape the frontier of coding agents and where the space is headed, publishing studies of interesting/impactful findings.
  • Help the world’s top AI Labs improve their models for coding.
  • Publicly contribute to the field through benchmarks, open-source tools, research, and technical writing.

WHAT WE'RE LOOKING FOR

  • You’re extremely passionate about building software with agents, and regularly tinkering with the latest coding agents.
  • Comfort operating 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 / Code-Generation at NeurIPS, ICLR, ICML, COLM, etc.
  • Extensive software engineering experience or strong GitHub profile of OSS contributions, along with deep knowledge of agent harnesses.

WHY JOIN

  • Work at the very frontier of AI with most major AI labs, researching some of the most important problems in Data and Evaluations.
  • Publish results and work in public through open-source benchmarks and software, papers, and blogs.
  • Join a rapidly growing company whose data business grew from zero to nearly $1B run rate in a year.
  • Help build an early technical organization where your work shapes the roadmap, standards, and culture.
  • Attend (and publish at) conferences like NeurIPS, ICML, ICLR, COLM.

PERKS

Handshake delivers benefits that help you feel supported—and thrive at work and in life.

The below benefits are for full-time US employees.

🎯 Ownership: Equity in a fast-growing company

💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching

🍼 Family Support: Paid parental leave, fertility benefits, parental coaching

💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend

📚 Growth: $2,000 learning stipend, ongoing development

💻 Office: Commuting support, free lunch, and gym in our SF office

🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days

🤝 Connection: Team outings & referral bonuses

Source: Handshake careers (Ashby)

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