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- Tasks: Architect and develop groundbreaking generative world models that understand space, time, and physics.
- Company: Join SpAItial, a leader in generative AI and innovative technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment focused on creativity, collaboration, and excellence.
- Why this job: Be at the forefront of AI innovation and shape the future of 3D environments.
- Qualifications: PhD in Computer Science or related field with expertise in ML and generative models.
The predicted salary is between 60000 - 80000 ÂŁ per year.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality. We are moving beyond 2D pixels to build models that natively understand the physics and geometry of our world. Our mission is to redefine how industries, from robotics and AR/VR to gaming and cinema, generate and interact with physically-grounded 3D environments.
We are looking for individuals who are bold, innovative, and driven by a passion for pushing the boundaries of whatâs possible. You should thrive in an environment where creativity meets challenge and be fearless in tackling complex problems. Our team is built on a foundation of dedication and a shared commitment to excellence, so we value people who take immense pride in their work and place the collective goals of the team above personal ambition. As a part of SpAItial, youâll be at the forefront of the AI revolution in generative AI technology, and we want you to be excited about shaping the future of this dynamic field. If youâre ready to make an impact, embrace the unknown, and collaborate with a talented group of visionaries, we want to hear from you.
Responsibilities:
- Architect generative world models that reason about space, time, and physics.
- Design and develop image/video diffusion foundational ML models.
- Large-scale distributed model training on top of distributed cloud infrastructure.
- Develop demos showcasing the trained model prototypes.
- Processing and maintaining large data for model training.
- Productionizing models, test-time model optimization.
Key Qualifications:
- PhD in Computer Science or related field with a top-tier publication record in ML, Vision or graphics (CVPR, ECCV/ICCV, NeurIPS, SIGGRAPH, etc.).
- Strong knowledge of generative models such as image or video diffusion.
- Strong knowledge of cuttingâedge architectures including diffusion transformers (DiT).
- Rich experience with deep learning frameworks such as PyTorch.
- Expert coding skills, and ability to rapidly iterate through ML experiments, including usage of modern AI coding tools.
At SpAItial, we are committed to creating a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives. We are an equal opportunity employer and ensure all candidates are treated fairly throughout the recruitment process.
Research Scientist - World Models in London employer: SpAItial
Contact Detail:
SpAItial Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Research Scientist - World Models in London
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at SpAItial. A personal introduction can make all the difference in getting your foot in the door.
â¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to generative models and deep learning. This gives us a tangible way to see your expertise and creativity in action.
â¨Tip Number 3
Prepare for interviews by diving deep into SpAItial's work. Understand our mission and be ready to discuss how your background in ML and computer vision aligns with our goals. We love candidates who are genuinely excited about what we do!
â¨Tip Number 4
Donât just apply anywhereâapply through our website! It shows youâre serious about joining SpAItial and helps us keep track of your application. Plus, itâs a great way to stay updated on any new opportunities that pop up.
We think you need these skills to ace Research Scientist - World Models in London
Some tips for your application đŤĄ
Show Your Passion: When writing your application, let your enthusiasm for generative AI and world models shine through. We want to see that you're not just qualified, but genuinely excited about pushing the boundaries of what's possible in this field.
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with our mission at SpAItial. Focus on your PhD work, publications, and any projects that showcase your expertise in ML and computer vision. We love seeing how your background fits into our innovative environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why youâre the perfect fit for our team. Share specific examples of your work, your problem-solving approach, and how you thrive in collaborative settings. We appreciate authenticity and creativity, so donât hold back!
Apply Through Our Website: We encourage you to submit your application directly through our website. Itâs the best way for us to receive your materials and ensures youâre considered for the role. Plus, it shows youâre keen on joining our team at SpAItial!
How to prepare for a job interview at SpAItial
â¨Know Your Stuff
Make sure you brush up on the latest in generative AI, computer vision, and the specific technologies mentioned in the job description. Familiarise yourself with diffusion models and architectures like diffusion transformers. Being able to discuss these topics confidently will show your passion and expertise.
â¨Showcase Your Work
Prepare to discuss your previous projects and publications, especially those related to ML and computer vision. Bring along examples of your work or demos that highlight your skills in developing models and handling large datasets. This will give the interviewers a tangible sense of what you can bring to the team.
â¨Emphasise Team Spirit
SpAItial values collaboration and collective goals, so be ready to talk about how you've worked effectively in teams before. Share experiences where you put team success above personal ambition, and how you contributed to a positive team dynamic.
â¨Be Bold and Creative
Since the role requires innovation and tackling complex problems, donât shy away from discussing your creative approaches to challenges. Think of examples where you pushed boundaries or came up with unique solutions in your past work. This will resonate well with their mission of redefining industries through creativity.