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For Companies At a Glance
- Tasks: Drive the development of models for creating stunning 3D assets from real-world images.
- Company: Exciting graphics-focused startup in the heart of London.
- Benefits: Competitive salary, equity options, and a flexible hybrid work setup.
- Why this job: Join a pioneering team and shape the future of 3D asset generation with cutting-edge technology.
- Qualifications: PhD or equivalent experience in generative methods and strong PyTorch skills.
- Other info: Be part of a dynamic startup culture with opportunities for innovation and growth.
The predicted salary is between 48000 - 72000 £ per year.
A small graphics-focused startup in London is seeking an Applied Research Scientist to drive the development of models for generating high-quality 3D assets from real-world images. You will propose and evaluate innovative techniques in physically-based rendering and generative AI.
Ideal candidates should possess a PhD or equivalent experience along with a strong background in PyTorch and generative methods.
The role offers competitive salary, equity, and a flexible hybrid work setup.
Senior Applied Scientist - 3D PBR & Generative Models in City of London employer: Block MB
Contact Detail:
Block MB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist - 3D PBR & Generative Models in City of 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 showcasing your work with 3D assets, PyTorch projects, or any generative models you've developed. This will give potential employers a taste of what you can bring to the table.
✨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 makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come in directly, and it helps us keep track of all the amazing talent out there. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior Applied Scientist - 3D PBR & Generative Models in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with PyTorch and generative methods in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your PhD or equivalent experience and how it relates to developing models for 3D assets. We love seeing candidates who put in the effort!
Be Innovative: Since we’re all about driving innovation, feel free to propose any unique techniques or ideas you’ve worked on in the past. This is your chance to stand out and show us your creative side!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates from us. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Block MB
✨Know Your Stuff
Make sure you brush up on your knowledge of physically-based rendering and generative AI techniques. Be ready to discuss your previous projects in detail, especially those involving PyTorch. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Creativity
Since the role involves proposing innovative techniques, think outside the box! Prepare a few ideas or concepts you could bring to the table. This will demonstrate your ability to think creatively and contribute to the company's mission of generating high-quality 3D assets.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s current projects and future goals. This shows your genuine interest in the role and helps you understand how you can fit into their vision. Plus, it gives you a chance to assess if the company aligns with your career aspirations.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Brush up on your coding skills in PyTorch and be prepared to solve problems on the spot. Practising common algorithms or model evaluation techniques can give you an edge and help you feel more confident.
