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- Tasks: Design high-fidelity synthetic data engines and develop automated rendering pipelines.
- Company: Join SpAItial, a leader in generative AI and computer vision.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse workplace committed to equal opportunity and innovative projects.
- Why this job: Be at the forefront of AI and graphics, shaping the future of 3D environments.
- Qualifications: Strong graphics background and proficiency in rendering software like Blender or Unity.
The predicted salary is between 60000 - 80000 £ 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 a research engineer with a deep graphics understanding to bridge the gap between high-end rendering and frontier AI. You will lead the creation of the synthetic engines that power our models, designing scalable pipelines that generate the ground-truth reality for our next-generation world models. If you are a graphics expert who wants to move beyond visual effects and start building the training grounds for world Intelligence, we want you on our team.
Responsibilities- Design and architect high-fidelity synthetic data engines to train large-scale World Models.
- Develop and scale automated rendering pipelines to generate diverse, physically-consistent 3D environments.
- Integrate and refine rendering workflows using tools like Blender, Unity, 3DMax, or equivalent platforms.
- Work with our world-class research team to ensure datasets and synthetic data workflows align with our world model training objectives.
- Strong background in computer graphics with a proven track record of building complex rendering systems or high-fidelity simulation environments.
- Deep understanding of 3D representations (meshes, voxels, point clouds, implicit surfaces, etc.); knowledge in 3D Gaussian Splatting and volumetric rendering is a nice to have.
- Proficiency in Blender, Unity, Unreal Engine, 3DMax, or similar rendering and simulation software.
- Bachelor’s, Master’s, or equivalent experience in computer science, graphics, or related fields.
- Nice to have: experience, or ambition to work with procedural generation tools and techniques.
- Background in large-scale data workflows for AI/ML model training.
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 Engineer - Graphics in London employer: SpAItial
Contact Detail:
SpAItial Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - Graphics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work in graphics and rendering. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to computer graphics and AI. Practice explaining your past projects and how they relate to the role at SpAItial. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission at SpAItial.
We think you need these skills to ace Research Engineer - Graphics in London
Some tips for your application 🫡
Show Off Your Graphics Skills: Make sure to highlight your experience with computer graphics and any projects you've worked on that showcase your skills. We want to see your passion for high-fidelity rendering and how you’ve tackled complex challenges in the past.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Research Engineer role. Mention your experience with tools like Blender or Unity, and how they relate to our mission at SpAItial.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff and focus on what makes you a great fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining SpAItial!
How to prepare for a job interview at SpAItial
✨Know Your Graphics Inside Out
Make sure you brush up on your knowledge of computer graphics, especially the specifics mentioned in the job description. Be ready to discuss your experience with rendering systems and 3D representations like meshes and point clouds. This will show that you’re not just familiar with the concepts but can also apply them practically.
✨Showcase Your Projects
Prepare a portfolio or examples of your previous work that highlight your skills in building complex rendering systems or high-fidelity simulations. Being able to talk through your projects and the challenges you faced will demonstrate your hands-on experience and problem-solving abilities.
✨Familiarise Yourself with Tools
Since the role involves using tools like Blender, Unity, and 3DMax, make sure you’re comfortable discussing your proficiency with these platforms. If you’ve used any procedural generation tools, be ready to share your insights on how they can enhance synthetic data workflows.
✨Align with Their Mission
Understand SpAItial's mission to redefine industries through AI and 3D environments. Think about how your skills and experiences can contribute to their goals. During the interview, express your enthusiasm for working on projects that push the boundaries of generative AI and computer vision.