- San Francisco, CA
- Full-Time
- 7 days ago
Optimization Research Engineer, DeepMind.
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Optimization Research Engineer, DeepMind: our view in 3 lines...
- The Role:This role is for a research-focused software engineer working on optimization problems within Google DeepMind.
- The Person:The person will solve challenging optimization problems for power grids and write reports and presentations.
- Requirements:The ideal candidate has a bachelor’s degree or equivalent practical experience, 2 years working with large-scale optimization models, experience with solvers, machine learning, TensorFlow, and software engineering.
About the role
Minimum 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 but not limited to 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
Preferred qualifications:
- Experience with machine learning infrastructure
- Experience with mathematical optimization
- Knowledge of power and energy systems modeling and optimization
About the job:
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities:
- Solve challenging optimization problems for power grids.
- Write reports and presentations.
