Optimization Research Engineer, DeepMind

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

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

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. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

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

Responsibilities

Learn more about benefits at Google .

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

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .