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Optimization Research Engineer, DeepMind at Google

Compensation

$147,000 – $210,000/yr

Location
San Francisco, California
Type
Full-time
Level
mid
Posted

Description

Google DeepMind is hiring a Software Engineer focused on large-scale optimization for power grids. The role involves solving challenging optimization problems, writing reports and presentations, and contributing to research and product innovation. Candidates need a bachelor’s degree or equivalent practical experience, at least two years working with large-scale optimization models, experience with solvers and integer, nonlinear, and stochastic programs, machine learning and TensorFlow experience, and experience building models on novel real datasets. The listed compensation is $147,000–$210,000 USD plus a 15% bonus target, equity, and benefits.

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