Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive research on models for 3D asset creation and material prediction.
- Company: Exciting startup at the forefront of 3D graphics and generative AI.
- Benefits: Competitive salary, equity, and flexible hybrid work in London.
- Why this job: Make a real impact in the creative industry by automating artist workflows.
- Qualifications: PhD or equivalent experience in ML, computer vision, or graphics.
- Other info: Collaborate with artists and engineers on innovative projects.
The predicted salary is between 36000 - 60000 ÂŁ 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.
The role involves being 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 → prototype → 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 Slough employer: Block MB
Contact Detail:
Block MB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to 3D graphics, PBR, or generative models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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. Practice common interview questions and think about how you can demonstrate your expertise in applied research.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are passionate about our mission. Tailor your application to highlight your relevant experience and show us why you’re the perfect fit for the team.
We think you need these skills to ace Applied Scientist in Slough
Some tips for your application 🫡
Show Your Passion for 3D and AI: When writing your application, let your enthusiasm for 3D graphics and generative models shine through. We want to see how your background aligns with our mission of turning real-world photos into stunning 3D assets.
Highlight Relevant Experience: Make sure to showcase your experience with PyTorch and any projects related to material estimation or 3D-aware learning. We’re looking for candidates who can hit the ground running, so don’t hold back on those impressive achievements!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your skills and experiences without wading through fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Block MB
✨Know Your Stuff
Make sure you brush up on the latest in machine learning, computer vision, and generative models. Be ready to discuss your past projects, especially those involving PyTorch and 3D data. This is your chance to show off your expertise!
✨Show Your Process
Prepare to walk through your approach to taking ideas from sketch to prototype. They’ll want to see how you evaluate models and track progress, so have some examples ready that highlight your problem-solving skills and how you’ve tackled challenges in previous roles.
✨Collaborate Like a Pro
Since this role involves working closely with engineers and artists, be prepared to discuss how you’ve collaborated in the past. Share specific examples of how you’ve influenced workflows or contributed to team projects, as this will demonstrate your ability to work in a cross-functional environment.
✨Ask Smart Questions
Don’t forget to prepare thoughtful questions about their current projects and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of creating high-quality 3D assets.
