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Staff Software Engineer, Server and Full Stack, Growth and Discovery

Google DeepMind · New York, NY, USA

Frontier labonsitestaff$207k–$300k
Apply on the lab’s site ↗

At a glance

Highlights

  • Power the Gemini app's growth engine and craft discovery experiences for users.
  • Engineer systems that help users explore and maximize the potential of AI.
  • Build and deploy high-quality consumer product features with rapid iteration.

What they offer

  • 20% bonus target
  • equity
  • benefits

Ideal candidate

Seasoned full-stack builder and technical leader who thrives on ambiguous consumer problems and rapid iteration to grow AI products for billions.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Mathematics, or related STEM field or equivalent experience
  • 8 years of experience in software development, systems programming, or applied ML engineering
  • 5 years of experience designing and launching large-scale production software products or foundation AI systems
  • 5 years of experience testing and launching software products with full-stack development
  • 3 years of experience leading software design and architecture for high-throughput distributed systems
  • 3 years of experience with performance, system architecture, data analysis, visualization and debugging
  • Master's degree or PhD in Computer Science, Artificial Intelligence, Robotics or related field preferred
  • Experience developing, evaluating or serving LLMs, agentic workflows, multimodal pipelines or AI runtime APIs preferred

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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