Research Scientist: Agentic AI & Reasoning in Production

AI Chopping Block, Inc.; Greater London; Hybrid; GBP 156,000 - 226,000; Full time

Job summary

Google DeepMind is seeking researchers and engineers to advance AI reasoning and autonomous agentic systems within the PRISM team. You will work across the full life cycle, building distributed post-training infrastructure to enable Gemini models to solve complex, multi-step problems automatically.

The position targets professionals with 4+ years in ML model development using DL frameworks and RL, SFT/RLHF/RLAIF experience, and a track record in designing scalable, production-grade systems.

Qualifications

• Bachelor's or Master’s degree in CS, Math, Physics or related field, or equivalent practical experience.
• 4 years of experience building, scaling, and debugging ML models using DL frameworks (JAX, PyTorch, TF).
• Experience in RL, Post-Training (SFT/RLHF/RLAIF), Agentic Tool-Use, or Inference-Time Search.

Responsibilities

• Operate across the full lifecycle, building distributed post-training infrastructure for Gemini multi-step problems.
• Bridge research to production by turning prototypes into production features for Gemini releases.
• Build and scale systems: design distributed post-training pipelines and simulations across accelerators.
• Run ablations: design experiments and analyze failures; communicate findings clearly.
• Maintain high code quality and architectural health across RL and modeling codebases.

Skills

Machine learning

Deep learning frameworks

Reinforcement Learning

Post-Training

Agentic Tool-Use

Inference-Time Search

Education

Bachelor's or Master's degree in CS/Math/Physics

PhD in CS/ML/Physics

Tools

JAX

PyTorch

TensorFlow

Job description

Google DeepMind is seeking researchers and engineers to advance AI reasoning and autonomous agentic systems within the PRISM team. You will work across the full life cycle, building distributed post-training infrastructure to enable Gemini models to solve complex, multi-step problems automatically.

The position targets professionals with 4+ years in ML model development using DL frameworks and RL, SFT/RLHF/RLAIF experience, and a track record in designing scalable, production-grade systems.