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Senior Staff Software Engineer, AI/ML, Multimodal Rich Features

Google•Mountain View, CA
•$262,000 - $364,000

About The Position

Google software engineers develop technologies used by billions of people to connect, explore, and interact with information. This role works on projects critical to Google and calls for versatility, leadership, and the ability to take on new problems across the full stack. The Search team builds memory and personalization for multimodal queries, including Google Lens traffic and complex questions combining text, images, and other file inputs. Its technology combines classic retrieval and ranking of image results with LLM-native visual capabilities. The team is reimagining search and addressing complex engineering and infrastructure challenges while maintaining a universally accessible and useful experience. Individual pay is determined by job-related skills, experience, and relevant education or training. The US salary range is $262,000–$364,000, with a 25% bonus target, equity, and benefits.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience in a technical leadership role and 5 years managing people.
  • 5 years of experience leading design for machine learning products and optimizing systems that incorporate machine learning.
  • Experience integrating generative AI tools or large language model (LLM) interfaces into workflows.

Nice To Haves

  • Experience supporting and developing the careers of engineering team members.
  • Experience working on user-facing machine learning products.
  • Experience setting technical direction and scaling technical impact on software engineering teams.
  • Experience in data analysis with a metrics-first perspective and quality evaluation.

Responsibilities

  • Set technical strategy and prioritization for the multimodal rich features domain.
  • Solve deep technical issues collaboratively across core quality, new features, infrastructure optimizations, and model training.
  • Drive team execution and consistently deliver on top-line metrics.
  • Proactively identify opportunities to connect work across multiple workstreams.
  • Accelerate team members’ career growth by establishing next-level scope and providing regular coaching.

Benefits

  • 25% bonus target
  • Equity
  • Benefits

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