Research Scientist (NeRF)

Optifye.ai
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Data Scientist

Bioprocess Upstream Data Scientist

Senior Data Scientist

Join Us as a Research Scientist in 3D Neural Rendering and AI-Powered Environments!


Are you a visionary scientist passionate about pushing the boundaries of 3D environment creation? Do NeRFs (Neural Radiance Fields) and 3D Gaussian Splatting fuel your curiosity? If so, we want you to join our journey transforming how 3D worlds are imagined and built.


About Us


We're on a mission to redefine 3D environment creation for various cutting-edge applications, from immersive gaming and virtual production to digital twins and AR/VR experiences. Backed by forward-thinking investors and driven by a culture of innovation, we are building the next generation of tools to craft seamless, photorealistic 3D worlds.


The Role


We’re looking for a Research Scientist to lead and innovate in NeRFs and 3D Gaussian Splatting. This role is central to our goal of creating scalable, adaptable, and highly realistic 3D environments. You'll work at the forefront of neural rendering, combining state-of-the-art AI techniques with a hands-on approach to shape the future of immersive technology.


Key Responsibilities


  • Develop and refine models for NeRF-based 3D scene reconstruction.
  • Advance 3D Gaussian Splatting techniques for accurate and efficient environment rendering.
  • Conduct cutting-edge research in neural rendering, optimizing for quality and performance.
  • Collaborate with a dynamic team of engineers and designers to prototype and deploy innovative solutions.
  • Contribute to white papers, patents, and presentations to showcase your research outcomes.


What We’re Looking For


  • Ph.D. or Master's in Computer Science, AI, Machine Learning, or a related field (or equivalent research experience).
  • Deep expertise in NeRFs, neural rendering, or similar 3D representation techniques.
  • Strong proficiency in Python and frameworks like PyTorch or TensorFlow.
  • A solid foundation in 3D geometry, computer vision, and rendering pipelines.
  • Passion for experimentation and a drive to translate complex research into real-world applications.


Why Join Us?


  • Shape the Future:Your work will define the foundation of our technology and its transformative potential.
  • Cutting-Edge Tech:Collaborate on groundbreaking projects at the intersection of AI and 3D innovation.
  • Vibrant Culture:Be part of a startup culture that values curiosity, agility, and a passion for building.
  • Competitive Benefits:Enjoy competitive compensation, equity options, and a flexible work environment.


Let’s Build the Future Together


If you’re excited about redefining 3D environments and eager to contribute to something truly revolutionary, we’d love to hear from you!


Apply nowto join us and make your mark on the world of AI-driven 3D innovation.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.