Staff Engineer, Coding Agents Benchmarking

Handshake

Mountain View (CA)

Presencial

USD 180.000 - 240.000

Jornada completa

Hace 10 días

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Ventajas ofrecidas por este puesto de trabajo

Health Insurance
Fertility and family forming
LGTBQ+ coverage
Mental health
Tax savings
Life & disability insurance
401k match
Equity
Financial management
Learning & development
Community leader support
Parental leave
Flexible time off
Sabbatical
Volunteer time off

Descripción de la vacante

Handshake is seeking a Member of Technical Staff to help define how frontier coding agents are benchmarked and improved. You will partner with world-class AI researchers and thousands of software engineers to develop benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques for AI-powered coding.

Early team members will influence technical direction and open-source projects.

Formación

  • Extremely passionate about building software with agents and tinkering with coding agents.
  • Published research on AI for Software/Code-Generation at NeurIPS, ICLR, ICML, COLM, etc.
  • Extensive software engineering experience or strong GitHub OSS contributions with deep knowledge of agent harnesses.
  • Comfort operating in an ambiguous, fast-moving environment with substantial ownership.
  • Previous experience working on a Coding benchmark.

Responsabilidades

  • Create/publish Coding benchmarks that challenge state-of-the-art frontier agents.
  • Understand/shape the frontier of coding agents and publish studies of findings.
  • Help leading AI labs improve their models for coding.
  • Contribute to the field through benchmarks, open-source tools, research, and technical writing.

Descripción del empleo

Handshake is seeking a Member of Technical Staff to help define how frontier coding agents are benchmarked and improved. You will partner with world-class AI researchers and thousands of software engineers to develop benchmarks, reward and verifier systems, agent-evaluation methodologies, and data-quality techniques for AI-powered coding.

Early team members will influence technical direction and open-source projects.

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