Staff Software Engineer, AI Data Generation Platform

GoogleSunnyvale, CA
22h$197,000 - $291,000

About The Position

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Our organization accelerates the path to AI by engineering robust data-acquisition systems that deliver high-fidelity datasets including human-generated data, evaluations, synthetic data at scale, and data to fill critical voids in areas like agentic workflows, coding, and other specialized domains. Our organization builds systems to secure such high-quality data and also improve velocity for ML researchers and product developers to use the data efficiently for model training/fine-tuning and product adoption. In this role, you will make direct contributions to infrastructure and model customization. Your work will also focus on emerging areas like reinforcement learning techniques for building infrastructure for agentic workflows. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Requirements

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products
  • 3 years of experience with software design and architecture.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

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.

Responsibilities

  • Design and build scalable, general-purpose data tooling and infrastructure to support variety of applied use-cases for building agents.
  • Learn novel Generative AI use cases to learn in depth their data needs and identify solutions leveraging the AI Data Platform.
  • Build and optimize infrastructure for agentic environment data creation addressing unique and emerging technical tests of modeling techniques involving reinforcement learning.
  • Work cross functionally with Data Science, Product, other infrastructure teams.
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