Staff Software Engineer, AI Data, Evaluation Platform

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience with ML design and architecture; and testing/launching software products.
• 5 years of experience in software development, data structures and algorithms in Python.
• 5 years of experience in leading technical project strategy, machine learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience in full-stack development languages and technologies (e.g., Python, Angular or Typescript).

Nice to Have:

• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 5 years of experience with data structures/algorithms.
• Experience in Data Science or adjacent work or on SWE/DS collaborations and with machine learning/GenAI evaluation or related fields (e.g., model training or evaluation processes, TPU optimization).
• Experience working with co-owned systems or closely integrated systems maintained across team boundaries and working across time zones and maintaining productivity with limited communication bandwidth.
• Knowledge of software engineering principles, design patterns, and architectural best practices.
• Excellent communication skills; with ability to articulate technical concepts.

What You'll Be Doing:

• Design, develop, test, and maintain features across the full stack for EvalHub and related systems such as Gemini Data Studio from our Angular/TypeScript front-end to our Python back-end services.
• Collaborate across organisations and locations to develop and execute on the roadmap for eval quality efforts, enhance the end-to-end generative AI and Agent Eval UX by managing key issues in data visualization, debugging UI, and item visualization for eval data set and eval quality metrics.
• Lead the design and implementation of solutions in specialized machine learning (ML) areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
• Provide technical leadership on projects. Manage project priorities, deadlines, and deliverables.
• Facilitate alignment and clarity across teams on goals, outcomes and timelines. Influence and coach a distributed team of engineers.

Perks and Benefits:

• Information collected and processed as part of your Google Careers profile is subject to Google's Applicant and Candidate Privacy Policy.
• Google is an equal opportunity and affirmative action employer.
• If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
• English proficiency is a requirement for all roles unless stated otherwise in the job posting.
• Google does not accept agency resumes.