Power Grid Optimization Research Engineer

DeepMind Technologies Limited; San Francisco (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

DeepMind Technologies Limited, part of Google DeepMind, seeks a research-focused Software Engineer to tackle large-scale optimization problems and deploy ML ideas across real datasets. The role is based in San Francisco and emphasizes collaboration with research programs globally.

Responsibilities include solving optimization challenges for power grids and communicating findings through reports and presentations.

Qualifications

• 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, nonlinear, and stochastic programs.
• Experience with machine learning, TensorFlow, and software engineering.
• Experience building machine learning models on novel, real datasets.

Responsibilities

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

Skills

Large-scale optimization

Optimization solvers

Machine learning

TensorFlow

Software engineering

ML on real datasets

Education

Bachelor’s degree or equivalent practical experience

Tools

TensorFlow

Job description

DeepMind Technologies Limited, part of Google DeepMind, seeks a research-focused Software Engineer to tackle large-scale optimization problems and deploy ML ideas across real datasets. The role is based in San Francisco and emphasizes collaboration with research programs globally.

Responsibilities include solving optimization challenges for power grids and communicating findings through reports and presentations.