At a Glance
- Tasks: Collaborate on AI projects to reduce carbon footprints and advance scientific breakthroughs.
- Company: Join Google DeepMind, a leader in ethical AI development for public benefit.
- Benefits: Competitive salary, innovative work environment, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on collaboration and ethical advancements.
- Why this job: Make a real impact on climate change through cutting-edge AI technology.
- Qualifications: Experience in software development, machine learning, and data analysis required.
The predicted salary is between 50000 - 70000 £ per year.
About Us
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.
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.
Key Responsibilities
- 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.
- Obtain and transform 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.
About You
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.
Research Engineer, 12 Month Fixed Term Contract in London employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer, fostering a collaborative and innovative work culture that prioritises ethical advancements in artificial intelligence for the greater good. Our Research Engineers benefit from a dynamic environment that encourages professional growth through hands-on experience with cutting-edge technologies, while also contributing to meaningful projects aimed at reducing carbon footprints in energy generation. Located in a vibrant tech hub, we offer unique opportunities for networking and collaboration with leading experts in the field, ensuring that our employees are at the forefront of scientific discovery.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, 12 Month Fixed Term Contract in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with machine learning models and data analysis.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Google DeepMind.
We think you need these skills to ace Research Engineer, 12 Month Fixed Term Contract in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for artificial intelligence shine through. We want to see how you connect with our mission at Google DeepMind and how you can contribute to advancing the state of the art in AI.
Highlight Relevant Experience:Make sure to showcase your experience with machine learning and software development. We’re looking for specific examples where you've applied these skills, especially in a production environment. Don’t hold back on those projects that made an impact!
Tailor Your Application:Customise your application to align with the job description. Use keywords from the role, like 'collaborate', 'develop', and 'deploy', to demonstrate that you understand what we’re looking for and how you fit into the team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Google DeepMind
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, especially modern deep learning architectures like Graph Neural Networks. Be ready to discuss how you've applied these techniques to real-world data and any relevant projects you've worked on.
✨Showcase Your Collaboration Skills
Since the role involves working closely with engineers, product managers, and scientists, be prepared to share examples of how you've successfully collaborated across different fields. Highlight any teamwork experiences that demonstrate your ability to communicate effectively and contribute to a shared goal.
✨Demonstrate Your Problem-Solving Abilities
Think of specific challenges you've faced in previous roles, particularly related to developing and deploying software in production environments. Be ready to explain your thought process and the steps you took to overcome these challenges, showcasing your analytical skills.
✨Stay Current with Trends
Keep yourself updated on the latest advancements in power systems engineering and AI for climate projects. Mention any recent articles, papers, or technologies you've explored, and be prepared to discuss how they could relate to the work at Google DeepMind.
