Jobs

Research Scientist (NeRF)


Job details
  • Stealth Startup
  • London
  • 1 week ago
Applications closed

Research Scientist – Neural Radiance Fields (NeRF) Specialist

London (hybrid)


About Us:

We are a dynamic generative AI start-up at the forefront of developing cutting-edge 3D scene generation technology. Our mission is to revolutionize how immersive virtual environments are created, leveraging neural networks to bring complex, realistic 3D scenes to life. As we rapidly grow, we are looking for a passionate and innovative Research Scientist with experience in Neural Radiance Fields (NeRF) to join our team and push the boundaries of 3D scene generation.


Key Responsibilities:

  • Lead research initiatives focused on improving and extending the capabilities of NeRF for 3D scene generation.
  • Develop novel algorithms and approaches for rendering realistic 3D scenes using neural networks.
  • Collaborate with cross-functional teams to integrate research outcomes into product development.
  • Stay at the cutting edge of AI research, proposing and implementing state-of-the-art techniques to enhance our technology.
  • Publish and present research findings in leading AI/ML conferences and journals.
  • Mentor and collaborate with junior researchers and engineers in the team.


Key Qualifications:

  • PhD or MSc in Computer Science, Machine Learning, Computer Vision, or a related field.
  • Proven research experience in Neural Radiance Fields (NeRF), 3D Gaussian Splatting, or related 3D scene reconstruction/generation technologies.
  • Strong background in deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with 3D data processing, rendering techniques, and computer graphics.
  • Excellent problem-solving skills and a passion for AI/ML research.
  • Strong programming skills in Python or C++ and familiarity with modern ML tools and libraries.


Nice-to-Have:

  • Experience with generative AI models (e.g., Diffusion, GANs, VAEs).
  • Knowledge of geometric deep learning or other 3D reconstruction techniques.
  • Experience in 3D Gaussian Splatting
  • Publications in top-tier AI or computer vision conferences (e.g., NeurIPS, CVPR, ICCV).


What We Offer:

  • An exciting opportunity to work on breakthrough AI technology in a fast-paced start-up environment.
  • Competitive salary and equity options.
  • Flexible working arrangements – hybrid/remote options available.
  • A collaborative, innovative, and supportive team culture.
  • Opportunities to attend and present at leading conferences.

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