At a Glance
- Tasks: Collaborate on AI projects to reduce carbon footprint and advance scientific breakthroughs.
- Company: Join Google DeepMind, a leader in AI for public benefit and ethical innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on ethical AI and community collaboration.
- Why this job: Make a real impact on climate change through cutting-edge AI technology.
- Qualifications: Experience in software development and machine learning, preferably with Python or C++.
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 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 where they can engage with leading experts, contribute to groundbreaking projects aimed at reducing carbon footprints, and enjoy ample opportunities for professional growth and development. Located in a vibrant tech hub, we offer a unique chance to be part of a mission-driven team dedicated to making a positive impact on society through cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, 12 Month Fixed Term Contract
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with current employees at Google DeepMind. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and data analysis. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on relevant technical skills and concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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
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 reducing the carbon footprint of energy generation.
Highlight Relevant Experience:Make sure to detail your experience with machine learning and software development. We’re looking for specific examples of projects where you've applied these skills, especially in a production environment. This helps us see how you fit into our team.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the key responsibilities and skills mentioned in the job description. We appreciate when candidates take the time to align their experiences with what we’re looking for.
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 in real-world scenarios, as this will show your practical experience.
✨Showcase Your Collaboration Skills
Since the role involves working closely with engineers and scientists, be prepared to share examples of past collaborations. Highlight how you’ve effectively communicated complex ideas and worked towards common goals, as teamwork is key in this position.
✨Data is Your Best Friend
Familiarise yourself with data transformation and visualisation techniques. Be ready to discuss your experience with large datasets and how you've tackled challenges related to noise and complexity in data. This will demonstrate your analytical skills and problem-solving abilities.
✨Stay Current
Keep up to date with the latest advancements in power systems engineering and AI for climate projects. Mention any recent research or developments that excite you during the interview, as this shows your passion for the field and commitment to ethical advancements in technology.
