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

Meta
London, England
7 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Research Scientist (Applied LLMs), London

Isomorphic Labs London, United Kingdom

Research Scientist (Machine Learning), London

Isomorphic Labs London, United Kingdom

Research Scientist (Machine Learning), Lausanne

Isomorphic Labs United Kingdom

Applied Scientist, Wayve Labs

Wayve London, United Kingdom
On-site

Senior Product Designer

PhysicsX London, United Kingdom

Senior Simulation Data Engineer

PhysicsX London, United Kingdom
Posted
29 Oct 2025 (7 months ago)
Overview

Meta
London
£60,449 per year - estimated ?
Contract
CLOSING SOON

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.


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

  • 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).
  • Broad understanding of the state of the art of ML and AI model architectures and training paradigms.
  • Experience working on real-time, high-performance systems in robotics, AR/VR, or other areas
  • Experience working in a Linux environment.

Industry

Internet


#J-18808-Ljbffr

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.