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Senior Staff Research Scientist/Engineer, Consumer Agents Post Training

Google DeepMind · Mountain View, CA, USA · Kirkland, WA, USA · San Francisco, CA, USA · New York, NY, USA

CHECKED 23H AGO

Frontier labonsiteSenior Staff$262k–$364k
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At a glance

Highlights

  • Build autonomous, adaptive consumer agents that retain user context over time.
  • Drive large-scale agent post-training from hypothesis to Gemini model recipe.
  • Design evaluations for long-horizon reasoning and agent reliability.

What they offer

  • 25% bonus target
  • equity
  • benefits

Ideal candidate

A research-driven technical leader who thrives turning ambitious agent ideas into shipped models. You care about personalization, rigorous experimentation, and collaborating across teams to advance helpful AI.

Requirements

  • Bachelor's degree or equivalent practical experience
  • 8 years of experience in software development
  • 5 years of experience with design and architecture; and testing/launching software products
  • Experience with large language model, reinforcement learning, and deep learning
  • Master's degree or PhD in Engineering, Computer Science, or a related technical field
  • 8 years of experience with data structures and algorithms
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction
  • 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects

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 ↗