Startups · AI

Staff Software Engineer, AI Foundry Data Quality and Training Data

Google · United States · On-site

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About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Bachelor's degree or equivalent practical experience
  • 8 years of experience designing, building, and operating large -scale distributed systems, with a focus on scalability, fault tolerance, and reliability
  • 2 years of experience in a people management, supervision/team leadership role
  • Experience working with algorithms and data structures, analysis, and software design
  • Experience in software engineering principles, design patterns, and system architecture
More about this role
  • Provide technical leadership and people management for a team of Software Engineers delivering AI-ready training datasets and data quality infrastructure.
  • Architect, build, and evolve large-scale distributed data processing pipelines, signal-serving platforms, and dataset observability systems with rigorous reliability and Service Level Objective (SLO) guarantees.
  • Partner closely with peer tech lead managers, Über Tech Leads (UTLs), and DeepMind researchers to drive the end-to-end roadmap for pre-training, post-training, and multimodal training data delivery
  • Design and scale web-scale algorithms and optimization frameworks including crawl targeting, document selection, deduplication, spam/low-value filtering guardrails, and objective functions operating across hundreds of billions of documents.
  • Establish rigorous data quality metrics and automated anomaly detection.
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience designing, building, and operating large -scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
  • 2 years of experience in a people management, supervision/team leadership role.
  • Experience...

Read the full posting on Google's site ↗

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