Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop cutting-edge algorithms for 3D body shape estimation and generative animation.
- Company: Join Google, a leader in innovative technology and research.
- Benefits: Competitive salary, flexible working locations, and opportunities for professional growth.
- Other info: Collaborate with top researchers and contribute to groundbreaking projects in AR and XR.
- Why this job: Make a real impact in AI and shape the future of user experiences.
- Qualifications: Bachelor's degree in Computer Science and 5 years of Python programming experience.
The predicted salary is between 70000 - 90000 £ per year.
By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland.
Minimum qualifications:
- Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience.
- 5 years of experience programming in Python.
- One or more scientific publication submissions in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).
Preferred qualifications:
- PhD in Computer Science, Applied Math, or a related field with a focus on 3D Geometry or Machine Learning.
- Experience with deep learning frameworks (e.g., JAX) and with Python/C++.
- Experience with mesh processing, skeletal animation pipelines.
- Understanding of linear algebra, calculus, and optimization.
About the job:
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll set up large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to power machine learning, build better products faster, and unlock next-generation user experiences. The impact we make can be seen in teams using our technologies and data to build exciting new features in the Augmented Reality (AR) organization and beyond. Furthermore, our team makes direct feature contributions into the next generation XR devices.
Responsibilities:
- Develop algorithms and models for 3D body shape estimation, rigging, and skinning.
- Work with parametric models to represent human populations for various applications with differing performance and quality requirements.
- Research and develop novel approaches to physics-based generative animation conditioned on multimodal input data such as text, audio, sparse sensor information.
- Work alongside software engineers and other research scientists to deliver production-ready models and pipelines.
Research Software Engineer, Generative AI in London employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer, Generative AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at conferences. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and 3D geometry. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Software Engineer, Generative AI in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming experience in Python and any relevant publications. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise in AI and machine learning!
Tailor Your Application: Customise your CV and cover letter to reflect the specific qualifications mentioned in the job description. We love it when applicants connect their experiences directly to what we’re looking for, so make it personal!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit for the 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 position. We can’t wait to hear from you!
How to prepare for a job interview at Google
✨Know Your Stuff
Make sure you brush up on your Python skills and any deep learning frameworks like JAX. Be ready to discuss your past projects, especially those related to 3D geometry or machine learning. Having a solid grasp of linear algebra and calculus will definitely give you an edge!
✨Show Off Your Research
Since the role involves contributing to the research community, be prepared to talk about your scientific publications. Highlight any submissions to AI conferences like NeurIPS or CVPR, and explain how your work can relate to the position you're applying for.
✨Collaborative Spirit
This job requires working closely with software engineers and other researchers. Share examples of how you've successfully collaborated in the past, whether it was through team projects or cross-disciplinary work. Emphasise your ability to communicate complex ideas clearly.
✨Ask Smart Questions
Prepare thoughtful questions about the team's current projects and future goals. This shows your genuine interest in the role and helps you understand how you can contribute. Plus, it’s a great way to demonstrate your enthusiasm for the field of generative AI!