Staff Software Engineer, Generative Ai, Core Ml

Google

Mountain View, CA, United States
Base: $207,000-$300,000; bonus/equity: included bu...
Not specified (likely hybrid or onsite based on company norms).
Reinforcement learning (rl) workflows
Reasoning and self-correction techniques
Reward modeling systems
Google is seeking a Staff Software Engineer specializing in Generative AI and Core Machine Learning to lead the development of advanced Reinforcement Learning workflows and bridge the gap between research and production. The ideal candidate will possess strong technical skills in AI, software engineering, and a passion for innovative problem-solving

Job Summary

  • This role pioneers the next generation of Agentic Reinforcement Learning by architecting the cognitive layer of Google's AI stack.
  • The successful candidate will develop novel RL recipes and reward modeling systems to enable models to reason, plan, and use tools effectively.
  • Engineers in this position partner with Google DeepMind researchers to scale algorithmic approaches from prototypes to production libraries used across the company.

Matching Summary

Match Score: 90

Google is seeking a Staff Software Engineer specializing in Generative AI and Core Machine Learning to lead the development of advanced Reinforcement Learning workflows and bridge the gap between research and production. The ideal candidate will possess strong technical skills in AI, software engineering, and a passion for innovative problem-solving.

Salary

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

Skills & Requirements

Must-have

  • Reinforcement Learning (RL) workflows
  • Reasoning and self-correction techniques
  • Reward modeling systems
  • Synthetic data flywheels
  • LoRA and Distillation adaptation
  • Digital Twin simulation environments

Nice-to-have

  • Leadership qualities in fast-paced environment
  • Versatility across full-stack domains
  • Experience with DeepMind research collaboration
  • Ability to translate research to production

Key Requirements

  • Expertise in Reinforcement Learning
  • Experience with Foundation Model adoption
  • Background in large-scale system design

Work Rights

Not specified

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