Research Engineer AI for Electrical Power Systems

Snapshot

Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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.

About Us

Were now creating an exciting new team focused on catalysing AI breakthroughs through external projects and partnerships with an emphasis on maximizing the efficiency while reducing the carbon footprint of energy generation.

Were a dedicated scientific community committed to solving intelligence and ensuring our technology is used for widespread public benefit. Weve built a supportive and inclusive environment where collaboration is encouraged and knowledge is shared freely. We dont set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support we strive to support our people and their needs as effectively as possible.

Our list of benefits is extensive and were happy to discuss this further throughout the interview process.

The Role

In this role you will work at the cutting edge of power systems and machine learning within a dedicated impactful team of engineers and scientists at Google DeepMind. You will be instrumental in developing and deploying innovative AI solutions to optimize the operation of electrical power grids. This is an individual contributor role with significant opportunity to shape our technical direction and potential for future leadership growth. Your responsibilities will span the entire lifecycle of our projects from foundational modeling of power system components and data generation to the implementation testing and realworld deployment of machine learning models.

Key responsibilities:

• Develop and maintain accurate computational models of electrical power grid components (e.g. transmission lines transformers generators switches) and their operational constraints (e.g. power flow equations thermal limits voltage limits).
• Design implement and maintain robust systems and workflows for generating largescale synthetic datasets of power grid optimization problems based on various opensource grid models.
• Implement and utilize traditional optimization solvers (e.g. linear programming mixedinteger programming nonlinear programming) to solve power grid optimization problems within our generated datasets. This may involve adapting existing solvers or developing custom solvers using libraries like Gurobi IPOPT etc.
• Maintain and contribute to our machine learning codebase ensuring efficient data structures and seamless integration with our power system models and optimization solvers.
• Participate in the deployment of trained machine learning models to cloud infrastructure including the design and development of robust and scalable APIs for external access and integration.
• Design and implement rigorous unit integration and system tests to ensure the reliability accuracy and performance of our software and models.
• Analyze the performance of our machine learning models and traditional optimization methods identify areas for improvement and develop insightful visualizations of results including power grid constraint violations.
• Work closely with a team of engineers and research scientists and product managers to deliver realworld impact
• Stay uptodate with the latest advancements in both power systems engineering and relevant machine learning techniques and contribute your expertise to the teams collective knowledge.
• Work in collaboration with our Ethics and Governance teams to ensure our AI solutions for power systems are developed ethically and contribute to broad societal benefits.

About You

Essential Qualifications:

• Masters degree or equivalent practical experience in Power Systems Electrical Engineering or other related discipline.
• Demonstrable experience in designing developing and deploying productiongrade software particularly within the domain of Electrical Power Systems.
• Strong theoretical and practical understanding of power system fundamentals including power flow optimal power flow (OPF) and common operational challenges.
• Experience with machine learning models using frameworks such as TensorFlow or Jax.
• Proficiency in Python
• Experience using commercial or opensource optimization solvers such as Gurobi CPLEX IPOPT or similar.
• A strong interest in applying artificial intelligence and machine learning to solve realworld challenges in the energy sector.

Preferred Qualifications:

• Experience developing custom optimization solvers or algorithms for power grid problems on top of standard optimization libraries.
• Familiarity with data science libraries such as NumPy Pandas and visualization tools (e.g. Matplotlib Seaborn).
• Experience with cloud computing platforms (e.g. Google Cloud Platform AWS Azure) and containerization technologies (e.g. Docker Kubernetes).
• Experience contributing to opensource software projects and a strong understanding of opensource development best practices.
• Excellent communication and collaboration skills with the ability to effectively communicate complex technical concepts to both technical and nontechnical audiences.

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.