Optimization Research Engineer, DeepMind

Minimum qualifications:Bachelor’s degree or equivalent practical experience2 years working with large-scale optimization models2 years of experience with solvers and problem types, including but not limited to integer programs, nonlinear programs, and stochastic programsExperience with machine learning, TensorFlow, and in software engineeringExperience building machine learning models on novel, real datasetsPreferred qualifications:Experience with machine learning infrastructureExperience with mathematical optimizationKnowledge of power and energy systems modeling and optimizationAt 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 + benefitsLearn more about benefits at Google.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.Bachelor’s degree or equivalent practical experience2 years working with large-scale optimization models2 years of experience with solvers and problem types, including but not limited to integer programs, nonlinear programs, and stochastic programsExperience with machine learning, TensorFlow, and in software engineeringExperience building machine learning models on novel, real datasets