The Optimization Research Engineer at DeepMind focuses on solving complex optimization problems, particularly in the context of power grids. This role involves working with large-scale optimization models and collaborating with interdisciplinary teams to advance AI development. Engineers in this position will also contribute to the research community by publishing papers and partnering with universities. The position emphasizes the importance of safety and ethics in AI development.

• Bachelor's degree or equivalent practical experience
• 2 years working with large-scale optimization models
• 2 years of experience with solvers and problem types, including integer programs, nonlinear programs, and stochastic programs
• Experience with machine learning, TensorFlow, and in software engineering
• Experience building machine learning models on novel, real datasets

• Solve challenging optimization problems for power grids.
• Write reports and presentations.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.