Optimization Research Engineer, DeepMind

Google LLC; San Francisco (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google DeepMind is seeking an Optimization Research Engineer to tackle large-scale optimization problems and develop ML-driven solutions. You will prototype algorithms, run large experiments, and integrate with TensorFlow to push state-of-the-art in optimization and AI.

The role emphasizes research alignment, collaboration, and publishing results while contributing to real-world infrastructure challenges and scalable performance improvements.

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 in software engineering.
• Experience building machine learning models on novel, real datasets.

Responsibilities

• Tackle large-scale optimization problems for power grids.
• Develop and apply machine learning models using TensorFlow on real datasets.
• Collaborate with research teams across Google DeepMind to publish findings.
• Design experiments and prototypes to improve optimization pipelines.

Skills

Machine learning

TensorFlow

Software engineering

ML on real data

Education

Bachelor’s degree or equivalent practical experience

Tools

Solvers

Job description

Optimization Research Engineer, DeepMind

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• 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.

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

Learn more about benefits at Google .

• Solve challenging optimization problems for power grids.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.