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- Tasks: Transform real-world photos into stunning 3D assets using cutting-edge generative models.
- Company: Exciting startup at the forefront of 3D graphics and generative AI.
- Benefits: Competitive salary, equity, and flexible hybrid work setup in London.
- Why this job: Make a real impact by collaborating with artists and engineers on innovative projects.
- Qualifications: PhD or equivalent experience in ML, computer vision, or graphics; strong PyTorch skills.
- Other info: Join a dynamic team and shape the future of 3D asset creation.
The predicted salary is between 36000 - 60000 £ per year.
The mission is to help turn messy, real-world photos into production-ready, PBR-accurate 3D assets using generative models. This is a small, graphics-focused startup working with high-end film, games and immersive studios, building tools that quietly sit behind some very pretty pixels.
You’ll be the researcher driving the models that predict material properties and generate geometry from multi-view image data. Your work won’t live in a PDF; it will ship into real artist workflows, fast, and help automate the jump from photos to textured, physically-based assets.
What you’ll do:
- Propose, implement and evaluate state-of-the-art models for PBR material prediction and 3D asset creation.
- Build on top of modern vision transformers and diffusion-style architectures to extract maps like roughness, normals, specular and diffuse from images.
- Design models that respect multi-view consistency and can work from dense shots through to sparse or text-conditioned inputs.
- Run experiments, define baselines and track progress against product-level quality bars, not just academic metrics.
- Work closely with engineering teams to get your models into production tools and influence how a unique 3D/PBR dataset is collected and used.
What you bring:
- PhD (or equivalent experience) in ML, computer vision, graphics or a closely related field.
- Strong PyTorch skills and experience training models on large-scale image or 3D data.
- Track record in generative AI, material estimation, 3D-aware learning or similar high-impact research areas.
- Comfortable taking ideas from sketch to prototype to evaluated model, quickly.
- Bonus: photogrammetry, material/UV workflows, PBR and shading models, self-supervised methods (e.g. CLIP-style), 3D reconstruction, inverse rendering or texture synthesis.
Why you might care:
- Work at the crossroads of 3D graphics, physically-based rendering and generative AI, using rare, real-world PBR capture data rather than synthetic assets.
- Collaborate directly with artists, engineers and studios who will rely on your models to remove manual texturing from their workflows.
- Competitive salary, equity, flexible hybrid setup in London.
Applied Scientist in City of London employer: Block MB
Contact Detail:
Block MB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to generative models and 3D asset creation. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to the role of an Applied Scientist.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Applied Scientist in City of London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for 3D graphics and generative models shine through. We want to see that you’re not just qualified, but genuinely excited about the work we do at StudySmarter!
Tailor Your CV: Make sure your CV highlights relevant experience in ML, computer vision, and any projects related to PBR or 3D asset creation. We love seeing how your background aligns with our mission, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Applied Scientist role. Share specific examples of your work and how it relates to the job description. Keep it engaging and personal!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Block MB
✨Know Your Models Inside Out
Make sure you’re well-versed in the latest generative models, especially those related to PBR material prediction and 3D asset creation. Be ready to discuss your past projects and how you’ve implemented these models, as this will show your practical experience and understanding of the field.
✨Showcase Your Technical Skills
Brush up on your PyTorch skills and be prepared to talk about your experience with large-scale image or 3D data training. You might even want to bring along a portfolio or examples of your work that highlight your technical prowess and problem-solving abilities.
✨Understand the Company’s Mission
Research the startup’s focus on turning real-world photos into production-ready assets. Being able to articulate how your skills align with their mission will demonstrate your genuine interest in the role and the company, making you a more appealing candidate.
✨Prepare for Collaboration Questions
Since the role involves working closely with engineering teams and artists, think about your past experiences in collaborative environments. Be ready to share examples of how you’ve successfully worked with others to bring ideas from concept to production, as teamwork is key in this position.
