Senior Research Engineer, Climate
London, UK
DeepMind
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.At 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, maternity 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.
Snapshot
We're now creating an exciting new team focused on catalysing AI breakthroughs through non-commercial projects and partnerships, with an emphasis on reducing the carbon footprint of energy generation.
About Us
We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t 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 we’re happy to discuss this further throughout the interview process!
The role
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. This is an individual contributor role with potential for future leadership opportunities.
Responsibilities range from implementing and testing machine learning algorithms to working in partnership with and advising external partner organisations.
Key responsibilities:
- Foundational work in AI for Climate projects
- Be responsible for attaining and transforming data such that it can be useful for research
- Engage with DeepMind Research Scientists to identify potentially applicable techniques
- Implement, test and iterate machine learning models
- Productionising machine learning models and data pipelines
- Contribute to external partnerships on behalf of DeepMind
- Keep up to date with the state of the art in power systems engineering
- Collaborate with engineers, product managers and scientific domain experts.
- Contribute to the scientific knowledge and experience of the team with your own scientific domain knowledge.
- Work in collaboration with our Ethics and Governance 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.
About you
In order to set you up for success as a Research Engineer at DeepMind, we look for the following skills and experience:
- Master’s degree in computer science, electrical engineering, science, mathematics or equivalent experience.
- Experience applying machine learning methods to real world data.
- 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++).
- Knowledge of linear algebra, calculus and statistics.
- Experience exploring, analysing and visualising data.
- Scientific background in electricity systems & infrastructure.
In addition, the following would be an advantage:
- Experience with developing and deploying software in a production environment.
- Experience collaborating across fields and with external partners
- 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 scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously.
Please include a cover letter when applying and tell us how you can make a difference to our team.
Application Deadline: 2nd January 2022. Please note, we will be reviewing applications in the new year.
Competitive salary applies
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data pipelines Engineering Linear algebra Machine Learning Mathematics ML models NumPy Pandas Pipelines Python Research Statistics TensorFlow Testing
Perks/benefits: Career development Competitive pay
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