At a Glance
- Tasks: Join a team to develop cutting-edge robotics models and algorithms.
- Company: Be part of Google DeepMind's pioneering Robotics Lab.
- Benefits: Competitive salary, innovative projects, and opportunities for real-world impact.
- Other info: Collaborative environment with unique engineering challenges and career growth.
- Why this job: Work on groundbreaking AI technology that transforms how robots interact with the world.
- Qualifications: Expertise in machine learning and robotics control required.
The predicted salary is between 60000 - 80000 £ per year.
About Us
In the robotics team we believe that a truly general AI needs to be able to act in the physical world. The aim of the Robotics Team is to embody Artificial Intelligence, thereby endowing it with the ability to learn how to interact with objects, people, and other robots, in order to perform complex and useful tasks. At Google DeepMind, experts in different scientific fields (e.g. quantum chemistry, neuroscience, game theory) collaborate with research scientists and software engineers to solve grand challenges that would enable multiple scientific breakthroughs. The Robotics Lab is a group of pioneering research scientists, research engineers and software engineers uniquely specialised in Robotics at DeepMind.
The Role
Our Robotics Research Team at Google DeepMind focuses on Machine Learning approaches to robotics, with an emphasis on scalable and general techniques. We’re looking for Robotics Research Engineers to work on the development and deployment of new models and algorithms for robot perception, planning and control. Google is uniquely positioned to offer AI technology to billions of users, and we’re particularly interested in candidates who are passionate about pushing technology to the real-world. The ideal candidate would have expertise in both the modern AI stack as well as theoretical and practical knowledge of robot control, and be comfortable communicating with external product teams. The work that we do presents interesting and unique engineering challenges and as a member of the Research Engineering team, you’ll contribute towards enhancing the performance of both our research infrastructure and learning algorithms.
Key Responsibilities
- Work with a small team to develop and iterate on new techniques
- Write and maintain robotics R&D infrastructure
- Design and run experiments
- Evaluate results and communicate effectively to the wider team
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:
- Modelling, planning and control for hybrid dynamical systems (i.e. systems that exhibit both continuous and discrete dynamic behaviours) with application to robotic manipulation
- Machine learning (SL, UL, RL) applied on simulated and real robots (with continuous action space and continuous state space)
- Middleware and software development for robotics. Experience with real-time middleware for robotics will be positively evaluated
- Robotics perception (e.g. object pose estimation and matching, instance segmentation, dense prediction, grasp detection, planning, end-to-end and self-supervised grasping, depth and ego-motion, etc.). Experience with deep learning for perception will be positively evaluated
In addition, the following would be an advantage:
- Experience with enterprise software development
- Experience with deploying real-world technology, e.g. product-teams, startups, open-source contributions
Research Engineer, Robotics in London employer: Google DeepMind
At Google DeepMind, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of technology. As a Research Engineer in Robotics, you will have access to cutting-edge resources and the opportunity to work alongside leading experts in AI and robotics, all while contributing to meaningful projects that impact billions of users. Our commitment to employee growth is reflected in our supportive environment, where continuous learning and professional development are encouraged, making us an exceptional employer for those passionate about advancing the field of robotics.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Robotics in London
✨Tip Number 1
Network like a pro! Reach out to people in the robotics field, especially those at Google DeepMind. Attend meetups, webinars, or conferences where you can connect with industry experts and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to robotics and machine learning. This could be anything from personal projects to contributions to open-source software. Make sure it’s easily accessible when you apply through our website.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of hybrid dynamical systems and machine learning techniques. Practice coding challenges and be ready to discuss your past experiences in detail, especially those that relate to robot perception and control.
✨Tip Number 4
Don’t forget to follow up! After interviews or networking events, send a quick thank-you note to express your appreciation. It keeps you on their radar and shows your enthusiasm for the role at Google DeepMind.
We think you need these skills to ace Research Engineer, Robotics in London
Some tips for your application 🫡
Show Your Passion for Robotics:When writing your application, let us see your enthusiasm for robotics and AI! Share any projects or experiences that highlight your love for the field. We want to know what drives you and how you can contribute to our mission.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Research Engineer role. Highlight relevant skills like machine learning, robot control, and software development. This shows us you’ve done your homework and are genuinely interested in joining our team.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your experience and skills. We appreciate a well-structured application that makes it easy for us to see why you’re a great fit for the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it’s super easy to do, so go ahead and hit that apply button!
How to prepare for a job interview at Google DeepMind
✨Know Your Robotics Inside Out
Make sure you brush up on your knowledge of robotics, especially in areas like modelling, planning, and control for hybrid dynamical systems. Be ready to discuss specific projects or experiences where you've applied machine learning techniques to robotics, as this will show your practical understanding.
✨Showcase Your Problem-Solving Skills
Prepare to talk about unique engineering challenges you've faced in the past. Think of examples where you developed or iterated on new techniques, and be ready to explain your thought process and the outcomes. This will demonstrate your ability to contribute to the team effectively.
✨Communicate Clearly and Effectively
Since you'll need to communicate with external product teams, practice explaining complex concepts in simple terms. Use clear examples from your experience to illustrate your points, and don’t shy away from asking questions to clarify any doubts during the interview.
✨Stay Updated on AI Trends
Familiarise yourself with the latest advancements in AI and robotics, particularly those related to real-world applications. Being able to discuss current trends and how they might impact the field will show your passion and commitment to pushing technology forward.
