AI/ML Staff Software Engineer, AI Data

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++, Java, Python, Kotlin, or Go.
  • 5 years of experience testing and launching software products.
  • 3 years of experience with software design and architecture.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Nice to haves

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures/algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

What you'll be doing

  • Research and implement novel techniques for accelerated evaluation creation, including automated task synthesis, programmatic verifiers, and model-assisted rubric induction.
  • Architect pipelines to mine execution logs, agent traces, and runtime artifacts into high-fidelity, future-proof evaluations and training data that continuously self-improve.
  • Design and build robust benchmarks evaluating complex, long-horizon agentic reasoning across code, math, and specialized domains; optimize for climbability, discriminability, and zero contamination.
  • Build and scale platform software that automates quality gates such as AutoRaters and automated loss-pattern root-cause analyzers.
  • Provide technical direction and architecture across AI Data and partner teams; align distributed engineering teams and establish flexible, reusable approaches for all benchmark types.

Perks and benefits

  • Opportunity to work on next-generation technologies impacting billions of users worldwide.
  • Collaboration across innovative projects in AI, machine learning, large-scale system design, and distributed computing.
  • Supportive environment encouraging leadership, versatility, and tackling new technical challenges.
  • Part of Google Cloud’s mission to accelerate digital transformation globally.
  • Commitment to an inclusive workplace with equal employment opportunity.
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