At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

The Google DeepMind Institute (GDI) has a unique role in GDM, to develop solutions and resources built on GDM's technologies and expertise that extend the benefits to humanity. We are a path to real world impact, beyond Google products and services or making our research public.

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

In this role you will work in a small team of engineers and scientists to bring the benefits of scientific breakthroughs to the wider community with a focus on reducing the carbon footprint of energy generation. 

Responsibilities include building infrastructure and tools,  implementing and testing machine learning algorithms and working in partnership with and advising external partner organisations.

• Collaborate with engineers, product managers and scientific domain experts to develop and deploy machine learning models, data pipelines, and software in a production environment.
• Implement, test and iterate machine learning models
• Obtaining and transforming data such that it can be useful for research
• Keep up to date with the state of the art in power systems engineering and other relevant domains.
• Engage with Google DeepMind Research Scientists to identify potentially applicable techniques 
• Foundational work in AI for Climate projects
• Contribute to external partnerships on behalf of Google DeepMind
• Work in collaboration with our Responsibility teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity. 

The role will suit candidates who enjoy applying state-of-the-art AI to important scientific and real-world problems for maximum impact for the wider community.

In order to set you up for success as a Research Engineer at Google DeepMind,  we look for the following skills and experience:

• Experience with developing and deploying software in a production environment.
• Experience with at least one programming language (with a preference for those commonly used in machine learning or scientific computing such as Python and C++).
• Experience applying machine learning methods to real world data.
• Applied experience with machine learning, preferably modern deep learning architectures, in particular Graph Neural Networks 
• Knowledge of linear algebra, calculus and statistics equivalent to at least first-year university coursework. 
• Experience exploring, analysing and visualising data.
• Experience working with large and noisy datasets.

In addition, the following would be an advantage: 

• Scientific background in electricity systems & infrastructure.
• Experience collaborating across fields.
• Scientific knowledge (particularly physics)
• Experience using TensorFlow, Jax, NumPy, Pandas or similar ML/scientific libraries.
• Experience in open-source software and publicly-available code & the ability to ensure software artefacts (including codebases and data visualisations) meet open-source standards of readability, maintainability and reliability

When assessing technical background we will take a holistic view of the mix of experience. We do not expect you to be an expert in all fields simultaneously. 

Application deadline: EOD GMT Thursday 14h March 2024