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Software Engineer, Gemini App Skills Platform

Google DeepMind · Mountain View, CA, USA

Frontier labonsite$174k–$252k
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At a glance

Highlights

  • Build the execution layer turning Gemini into an action-oriented universal agent.
  • Shape flagship AI product experience for hundreds of millions of users.
  • Architect skill discovery and routing across Google and third-party ecosystems.

What they offer

  • 15% bonus target
  • equity
  • benefits

Ideal candidate

A systems-minded builder excited to turn AI prototypes into reliable products used by millions. You care about rigorous evaluation, clean architecture, and defining how people interact with intelligent agents.

Requirements

  • Experience developing software with large language models, agentic workflows, tool use, or retrieval-augmented generation (RAG)
  • Experience designing evaluation datasets, automated rating systems, or conducting error analysis and prompt optimization for generative models
  • Experience collaborating cross-functionally across research, product, and platform engineering teams to take novel AI features from prototype to production
  • Demonstrated ability to design experimental setups, analyze model telemetry, and define reproducible metrics for complex features

Lab profile

About Google DeepMind

Google's AI lab building frontier models like Gemini to advance science and general intelligence.

What they build

  • Gemini
  • Gemma
  • AlphaFold

Known for

  • Frontier foundation models and GenAI
  • Large-scale training with JAX, PyTorch, TensorFlow
  • Model evaluation and deployment expertise
  • Responsible frontier AI research

Key facts

  • Founded in 2010
  • Headquartered in London, UK
  • Part of Google (Alphabet)
More about Google DeepMind →
Apply on the lab’s site ↗

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