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Staff Research Engineer, GenAI Reinforcement Learning

Google DeepMind • LLM & Generative AI • Foundation Models • Bachelor's Degree • 1 day ago
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Salary
≈ $213k – $428k per year (Estimated)
Location
In office (Mountain View)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match

Google DeepMind

Google DeepMind is the artificial intelligence research and engineering division of Alphabet, formed in 2023 by merging the London laboratory founded in 2010 with the Google Brain team. It builds frontier foundation models such as the Gemini family, generative media systems including Veo and Imagen, and scientific tools like AlphaFold, whose protein structure predictions earned a share of the 2024 Nobel Prize in Chemistry. The unit pairs long-horizon research on reinforcement learning and general intelligence with product delivery across Google Search, Workspace, Android and Google Cloud.
deepmind.google • HQ: London, United Kingdom • LLM & Generative AI • AI for Science • Foundation Models • AI Research Labs • 1001-5000 employees • Est. 2010
Tech stack of Google DeepMind
Backed by Valueaddvc, Founders Fund, Long Journey Ventures

About the job

As a Research Engineer/Scientist working on Reinforcement Learning (RL) in Gen AI, you will be on the critical path of further improving our foundational models into more helpful and powerful AI agents through reinforcement learning. This is a unique opportunity that has a direct and profound impact on the utility and safety of one the world's most advanced AI systems.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Develop innovative post-training or RL solutions to advance the capability of our Gemini models.
  • Develop, maintain, and improve the core RL libraries, tools, and frameworks to accelerate and scale the RL development.
  • Collaborate with partners across DeepMind and Google to apply the model in critical product areas.

Qualifications

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.
  • Experience with reinforcement learning, machine learning, and deep learning.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 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.
  • Experience in developing reinforcement learning algorithms, framework or infrastructure.
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