At a Glance
- Tasks: Join our Robotics Engineering team to develop cutting-edge AI for robotics.
- Company: Google DeepMind is at the forefront of AI innovation, focusing on public benefit and ethical practices.
- Benefits: Enjoy a collaborative environment, opportunities for growth, and the chance to work with real robots.
- Why this job: Be part of groundbreaking research that impacts the future of robotics and AI technology.
- Qualifications: Experience with AI models, robotics systems, and proficiency in Python or C++ is essential.
- Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
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.
We are seeking a Robotics Research Engineer to join our Robotics Engineering team. As a Robotics Research Engineer you will apply state-of-the-art AI approaches such as Visual-Language-Action models to the robotics domain, integrate robotic platforms, run experiments, develop software libraries and solve complex, stimulating robotics problems. You will work on making our latest models and research results available to high profile partners under our Trusted Tester Program (TTP). This includes developing our software ecosystem, engaging with partners to understand their applications, interface robotics platforms with agents, upstreaming data, fine-tune models and engaging with research teams to improve model performance.
Key responsibilities:
- Apply and improve state-of-the-art robotic agents.
- Develop libraries and Software Development Toolkits (SDKs) for the interaction of agents and robots.
- Integrate state-of-the-art robotic platforms for internal and external use cases.
- Jointly work with Research Scientists to improve our models.
- Coordinate with our internal robotics lab and external customers on data collection and model deployment.
- Develop and track performance and data collection metrics.
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 in developing and/or applying state-of-the-art models (LLMs, VLAs etc.) to robotics.
- Familiarity with robotics systems and debugging complex issues.
- Must have motivation to work with real robots.
- Good knowledge of either Python or C++.
- A collaborative mindset, as this role requires close collaboration with software engineers, AI researchers, external partners and other stakeholders.
In addition, the following would be an advantage:
- Familiarity with open-source software and tools, especially related to deployment.
- Expertise in using large datasets with deep neural networks to make real robots useful.
- Familiarity with ROS2 (Robot Operating System 2), robot manufacturers’ APIs, or a willingness to learn.
- Experience with cloud infrastructure.
- A real passion for AI impacting real world robots!
At Google 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, 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.
Research Engineer, Robotics employer: Google DeepMind
Contact Detail:
Google DeepMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer, Robotics
✨Tip Number 1
Familiarise yourself with the latest advancements in robotics and AI, particularly Visual-Language-Action models. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Connect with current employees or alumni who work in similar roles at Google DeepMind. They can provide insights into the company culture and expectations, which can be invaluable when preparing for your interview.
✨Tip Number 3
Showcase any personal projects or contributions to open-source software related to robotics or AI. This demonstrates your passion and practical experience, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss how you've collaborated with cross-functional teams in the past. Highlighting your teamwork skills will resonate well, as this role requires close collaboration with various stakeholders.
We think you need these skills to ace Research Engineer, Robotics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in robotics and AI. Focus on projects where you've applied state-of-the-art models, and include specific examples of your work with Python or C++.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and robotics. Mention any experience you have with real robots and how it aligns with the role at Google DeepMind. Be sure to convey your collaborative mindset and willingness to engage with partners.
Showcase Relevant Projects: If you have a portfolio or GitHub profile, include links to projects that demonstrate your skills in developing software libraries or working with robotic platforms. Highlight any use of large datasets or cloud infrastructure.
Prepare for Technical Questions: Anticipate technical questions related to robotics systems and debugging. Brush up on your knowledge of ROS2 and be ready to discuss how you've solved complex problems in past projects.
How to prepare for a job interview at Google DeepMind
✨Showcase Your Technical Skills
Be prepared to discuss your experience with state-of-the-art models and robotics systems. Highlight specific projects where you've applied AI techniques, especially in relation to Visual-Language-Action models or similar technologies.
✨Demonstrate Collaboration
This role requires close collaboration with various teams. Share examples of how you've successfully worked with software engineers, researchers, or external partners in the past. Emphasise your collaborative mindset and communication skills.
✨Prepare for Problem-Solving Questions
Expect to face complex problem-solving scenarios related to robotics. Brush up on debugging techniques and be ready to discuss how you would approach integrating robotic platforms or improving model performance.
✨Express Your Passion for AI and Robotics
Convey your enthusiasm for AI's impact on real-world applications. Discuss any personal projects or research that demonstrate your passion for robotics and how you envision contributing to advancements in this field.