Senior ML Engineer - AIGC Content Quality & Personalization

Socket.dev

Mountain View (CA)

On-site

USD 262,000 - 364,000

Full time

8 days ago
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Job summary

Google is seeking a software engineer to advance AI-generated content and personalized experiences at massive scale. You will own end-to-end ML-driven personalization, integrate evaluation signals, and drive improvements across Discover/Notifications for billions of users.

The role emphasizes leadership, full-stack versatility, and the ability to coordinate across teams to push state-of-the-art ML systems forward.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of software development experience.
  • 7 years of leading technical project strategy and ML-focused work.
  • Experience building evaluation frameworks for LLMs.
  • Experience deploying recommendation systems in production.

Responsibilities

  • Lead development of AIGC recommendation frameworks and agentic flows for Discover/Notifications.
  • Build offline/online quality evaluation frameworks for LLMs to ensure quality.
  • Leverage dense signals and feedback to improve AIGC performance.
  • Drive end-to-end personalization focusing on retrieval, ranking, and budgeting predictions.
  • Optimize ML inference and resolve bottlenecks for low-latency global surfaces.

Skills

Senior software development
Technical leadership
LLM evaluation frameworks
Recommendation systems
ML infrastructure

Education

Bachelor's degree in Computer Science or related field
Master’s or PhD preferred

Tools

Large scale ML infra

Job description

Google is seeking a software engineer to advance AI-generated content and personalized experiences at massive scale. You will own end-to-end ML-driven personalization, integrate evaluation signals, and drive improvements across Discover/Notifications for billions of users.

The role emphasizes leadership, full-stack versatility, and the ability to coordinate across teams to push state-of-the-art ML systems forward.

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