Research Scientist, 3D Generative AI (PhD)

Meta; London; On-site; GBP 60,000 - 85,000; Full time

Job summary

A leading technology company in London is seeking a Research Scientist to innovate in 3D Generative AI. The role involves developing novel computer vision models, publishing results, and collaborating across teams. Candidates must have a PhD in related fields and experience in generative AI or machine learning. Join us to shape the future of the Metaverse.

Qualifications

• PhD in the field of computer vision, robotics, ML or equivalent.
• Background in generative AI, 3D computer vision.
• Experience designing machine learning algorithms.

Responsibilities

• Research and develop novel computer vision models in Generative AI.
• Publish research results in top-tier journals.
• Collaborate with team members throughout project lifetimes.

Skills

Research in Generative AI

Computer Vision

Machine Learning

Cross-functional collaboration

Education

PhD in computer vision, robotics, or ML

Job description

Summary:

Meta Reality Labs brings together R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Core-AI group in Reality Labs is seeking research scientists to solve the next generation of research challenges on the path to building the 3D Metaverse. The aim of this role is to develop and advance state of the art research in 3D Generative AI technologies such as generating objects, materials, animation and worlds.

Required Skills:

Research Scientist, 3D Generative AI (PhD) Responsibilities:

1. Research and develop novel computer vision models in Generative AI, with a focus on 3D objects, textures and scene generation.

2. Publish research results in top-tier journals and at leading international conferences.

3. Collaborate with team members throughout the lifetime of a project, from early research through prototyping

4. Working with product partners to deploy research into Meta's products.

Minimum Qualifications:

Minimum Qualifications:

1. PhD in the field of computer vision, robotics, ML or equivalent

2. Background in generative-ai, 3D computer vision, video and image generation.

3. Experience designing machine learning algorithms, including experience creating software for data loading, training, and inference of novel ML architectures

4. Experience working in cross functional collaboration

Preferred Qualifications:

Preferred Qualifications:

1. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, NeurIPS, ICLR, SIGGRAPH

2. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.)

3. Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry

Industry: Internet