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Research Scientist, 3D ML, AI & Computer Vision (PhD)

Meta

London

On-site

GBP 55,000 - 110,000

Full time

18 days ago

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Job summary

An innovative firm is seeking exceptional research scientists to join their cutting-edge team focused on AI and AR/VR technology. This role involves developing advanced machine perception systems that enable AI agents to understand the 3D world. You will leverage your expertise in machine learning and computer vision to create impactful solutions that drive the future of AI-enabled products. Collaborate with a talented team to prototype and deliver state-of-the-art technology, contributing to groundbreaking projects that redefine the landscape of machine perception. If you're passionate about pushing the boundaries of technology, this opportunity is perfect for you.

Qualifications

  • PhD in computer vision, ML, or robotics required.
  • 5+ years C++ experience and 3+ years Python experience.

Responsibilities

  • Research and develop ML and software technology for 3D machine perception.
  • Build real-time prototypes and collaborate with team members.

Skills

Machine Learning
Computer Vision
C++
Python
3D Geometry
Numerical Optimization
Interpersonal Collaboration

Education

PhD in Computer Vision or related field

Tools

Linux

Job description

Meta Reality Labs Research (RL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking exceptional research scientists to build machine perception technology allowing AI agents and systems to perceive and understand the 3D world around them. The aim of this role is to develop, advance and integrate ML and computer vision models and SW systems for advanced, real-time machine perception for egocentric devices such as Meta's Project Aria, including 3D environment and object reconstruction, semantic understanding, estimation and understanding of user motion, actions and activities, and learning of predictive, causal world models for embodied AI agents and egocentric devices.

Research Scientist, 3D ML, AI & Computer Vision (PhD) Responsibilities
  • Research, develop and prototype state of the art ML and software technology in the domains of 3D environment and object reconstruction, semantic understanding, estimation and understanding of user motion and more.
  • Build/integrate real-time prototypes for advanced, real-time 3D machine perception systems as part of a fast-moving research and research engineering team.
  • Collaborate with team members throughout the lifetime of a project, from prototyping to deployed products.
  • Deliver research results that have a direct impact on Meta and Meta's AI-enabled products.
Minimum Qualifications
  • Currently has or is in the process of obtaining a PhD in the field of computer vision, Machine Learning / Artificial Intelligence, robotics or equivalent.
  • Track-record of state-of-the-art publications in the field and at top conferences in the field.
  • Experienced in advanced 3D computer vision and ML, thorough understanding of 3D geometry fundamentals as well as state of the art ML/AI models incorporate that.
  • Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry.
  • 5+ years C++ experience with a mastery of modern C++ features.
  • 3+ years python experience, including appropriate ML frameworks.
  • Interpersonal experience: cross-group and cross-functional collaboration.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications
  • Experience working on real-time, high-performance systems in robotics, AR/VR, or other areas.
  • Experience working in a Linux environment.
  • Broad understanding of the state of the art of ML and AI model architectures and training paradigms.
  • 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, ICCP, 3DV, BMVC, or SIGGRAPH.
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
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