At a Glance
- Tasks: Join a team to develop cutting-edge robotics techniques 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 at the forefront of AI and robotics, shaping the future of technology.
- Qualifications: Experience in robotics, machine learning, and software development.
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 employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer, particularly for those passionate about robotics and AI. Our collaborative work culture fosters innovation and creativity, providing ample opportunities for professional growth and development in a cutting-edge environment. Located in a vibrant tech hub, we offer unique advantages such as access to world-class resources and the chance to work alongside leading experts in the field, making your contributions impactful and meaningful.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Robotics
✨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 chat with potential employers.
✨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 problem-solving scenarios that are relevant to robotics to impress your interviewers.
✨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, Robotics
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, as we want to know what drives you!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to match the job description. Highlight relevant skills and experiences that align with our needs in robotics research and machine learning.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key achievements stand out. This helps us quickly see how you fit into our team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Google DeepMind
✨Know Your Robotics Stuff
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 your experience with machine learning techniques applied to both simulated and real robots.
✨Show Off Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled engineering challenges in the past. Think about experiments you've designed or results you've evaluated, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly
Since you'll be working with a small team and communicating with external product teams, practice explaining complex concepts in simple terms. This will show that you can effectively share your ideas and collaborate with others.
✨Get Familiar with Real-Time Middleware
If you have experience with real-time middleware for robotics, make sure to highlight it. If not, do some research on it before the interview. Understanding this aspect can set you apart from other candidates and show your commitment to the role.
