Staff Software Engineer, Discover Ai Transformation, Genai Personalization

Google

Mountain View, CA, United States
Base: $207,000-$300,000; bonus/equity: included; b...
Hybrid
Llm integration layer architecture
Prompt engineering and evaluation harnesses
Model selection and fine-tuning strategies
Google is seeking a Staff Software Engineer for their Discover AI Transformation team, focusing on Generative AI personalization. The role involves architecting solutions for real-time content generation, with a strong emphasis on large language models and user engagement

Job Summary

  • This role involves architecting the LLM integration layer to enable real-time content generation and summarization tailored to user context within Google's Discover feed.
  • The engineer will own prompt engineering, evaluation harnesses, and observability tooling to maintain output quality and tone consistency at production scale.
  • Candidates are expected to drive model selection and fine-tuning strategies that balance capability, latency, and scalability while evolving the platform into a co-creative personal companion.

Matching Summary

Match Score: 85

Google is seeking a Staff Software Engineer for their Discover AI Transformation team, focusing on Generative AI personalization. The role involves architecting solutions for real-time content generation, with a strong emphasis on large language models and user engagement.

Salary

Base: $207,000-$300,000; Bonus/Equity: Included; Benefits: Not specified

Skills & Requirements

Must-have

  • LLM integration layer architecture
  • Prompt engineering and evaluation harnesses
  • Model selection and fine-tuning strategies
  • Cost-efficiency decisions across foundation models
  • Offline evals and live experiments

Nice-to-have

  • Data-driven quality iteration skills
  • Conversational adaptive companion design
  • Multi-modal understanding capabilities
  • Agentic capabilities experience

Key Requirements

  • Experience with Large Language Models (LLMs)
  • Proficiency in distributed system design
  • Background in information retrieval or NLP

Work Rights

Not specified

Tailored Resume

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