Startups · AI

Senior Staff Software Engineer, AI/ML AI Data

Google · United States · On-site

← All jobs
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 in software development
  • 7 years of experience leading technical project strategy, ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
  • 5 years of experience with design and architecture, and testing/launching software products
More about this role
  • Understand the design and architecture of highly complex ML pipelines and distributed systems, with a view towards making them more resource-efficient while improving the quality of the AI/ML data assets they produce.
  • Drive the adoption of next-generation AI/ML techniques to solve ambiguous business problems, moving from conceptual prototypes to global production.
  • Set the "gold standard" for code quality, testing, and deployment within the team, performing architectural reviews and optimizing system performance.
  • Mentor executive and mid-level engineers, fostering a culture of technical growth, and represent the team in high-level technical discussions across the broader organization.
  • Partner with researchers to operationalize models and work with product stakeholders to align technical roadmaps with user needs.
  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 7 years of experience leading technical project strategy, ML design and optimizing end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience with one or more of the following:...

Read the full posting on Google's site ↗

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.