Research Engineer: AI for Power Grid Optimization

Research Engineer, Energy Grids, Sustainability, DeepMind; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Google DeepMind is seeking a research engineer who blends science and software engineering to tackle sequential decision-making challenges for power grids. You will develop RL/ML approaches, prototype architectures, and report findings to the team.

Work involves designing experiments, validating results, and contributing to scalable solutions with strong collaboration across researchers and engineers to advance energy-grid applications.

Qualifications

• 3 years of experience in reinforcement learning or optimal control.
• 3 years of experience in software engineering.
• 3 years of experience in machine learning (ML).

Responsibilities

• Solve sequential decision-making problems under uncertainty for power grids at scale.
• Prepare reports and presentations.

Skills

Reinforcement Learning

Machine Learning

Software Engineering

Education

Bachelor's degree or equivalent

Job description

Google DeepMind is seeking a research engineer who blends science and software engineering to tackle sequential decision-making challenges for power grids. You will develop RL/ML approaches, prototype architectures, and report findings to the team.

Work involves designing experiments, validating results, and contributing to scalable solutions with strong collaboration across researchers and engineers to advance energy-grid applications.