4 days ago
Base Salary
$147k - $210k/yr
Responsibilities
- Solve challenging optimization problems for power grids.
- Create experiments, prototype implementations, design architectures, and help deploy promising research ideas.
- Build machine learning models using novel, real-world datasets.
- Write reports and presentations.
- Collaborate with research programs, universities, and technical institutes as applicable.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 2 years of experience working with large-scale optimization models.
- At least 2 years of experience with solvers and problem types including integer programs, nonlinear programs, and stochastic programs.
- Experience with machine learning, TensorFlow, and software engineering.
- Experience building machine learning models on novel, real datasets.
- Preferred: experience with machine learning infrastructure and mathematical optimization.
- Preferred: knowledge of power and energy systems modeling and optimization.
Benefits
- US base pay of $147000-$210000 per year, plus a 15% bonus target, equity, and benefits.
Tech Stack
TensorFlow
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.