Startups

Optimization Research Engineer, DeepMind

Google · United States · On-site

← All jobs
About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

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.

What they're looking for

  • 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
More about this role
  • Solve challenging optimization problems for power grids.
  • Write reports and presentations.
  • 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
  • Experience with machine learning infrastructure
  • Experience with mathematical optimization
  • Knowledge of power and energy systems modeling and optimization

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,...

Read the full posting on Google's site ↗

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.