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.