Research Scientist/Engineer, Frontier Reasoning, DeepMind

Role Overview

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.

Responsibilities

• Operate across the full research-and-engineering lifecycle of frontier reasoning and agentic systems.
• Address unsolved problems in agentic reasoning, turning early exploratory prototypes into hardened production features for Gemini releases.
• Architect and optimize distributed post-training pipelines and agent-environment simulation loops across thousands of accelerators.
• Design rigorous experiments and failure analyses to isolate performance bottlenecks and communicate findings through clear write-ups.
• Drive technical excellence by maintaining high code quality and architectural health across shared reinforcement learning and modeling codebases.

Requirements & Qualifications

Minimum qualifications:

• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience.
• 4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow).
• Experience in at least one core area: Reinforcement Learning (RL), Post-Training (SFT/RLHF/RLAIF), Agentic Tool-Use, or Inference-Time Search.

Preferred qualifications:

• PhD in Computer Science, Machine Learning, Physics, or a related quantitative field.
• Experience designing asynchronous agent-environment simulation loops or large distributed post-training pipelines.
• Experience prototyping new hypotheses quickly while keeping shared codebases clean, robust, and production-grade.

Application Instructions

Apply directly on Google Careers at Research Scientist/Engineer, Frontier Reasoning, DeepMind↗.

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