Research Engineer, ML, AI & Computer Vision

Meta; London; On-site; GBP 150,000 - 200,000; Full time

Job summary

An innovative firm is seeking talented research scientists to join their elite team in developing cutting-edge AI and AR/VR technologies. This role focuses on building machine perception technology that enables AI to understand the 3D world, working on advanced prototypes for egocentric devices. You will collaborate with top researchers and engineers, contributing to groundbreaking projects that redefine how we interact with technology. If you're passionate about AI, computer vision, and robotics, this is an exciting opportunity to shape the future of immersive experiences and social connectivity.

Qualifications

• 5+ years of experience with modern C++ features.
• Experience in Computer Vision and Perception for Robotics.

Responsibilities

• Implement advanced research systems in AI and machine perception.
• Collaborate across teams on projects from research to prototyping.

Skills

C++

Machine Learning

Computer Vision

Robotics

Interpersonal Collaboration

Education

MSc in Computer Science

PhD in Computer Vision

Tools

Unix

Distributed Systems

Cloud Services

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 high-performing 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, full-stack, real-time, Machine Perception and AI prototypes 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.

Research Engineer, ML, AI & Computer Vision Responsibilities

• Implement and prototype advanced research systems and technologies spanning device and cloud, in the domain of AI and machine perception.
• Collaborate with team members throughout the lifetime of a project, from early research through technology and experience prototyping.
• Play a critical role in the definition and execution of system research roadmaps in partnership and cross functional organizations in computer vision, machine learning, graphics, sensors, optics and silicon.
• Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics.

Minimum Qualifications

• MSc or PhD degree in Computer Science, Computer Vision, Robotics or a related technical field.
• Experience developing and designing Computer Vision and Perception for Robotics or smart device technologies and systems.
• 5+ years of experience with a mastery of modern features in C++.
• Experience working in a Unix environment.
• Interpersonal experience: cross-group and cross-functional collaboration.

Preferred Qualifications

• Industry experience working on projects such as: real-time SLAM and 3D reconstruction, scene understanding, robotics and agentic AI systems including autonomous driving.
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub).
• Broad experience with distributed systems, cloud services, or on-device algorithm development.
• 3+ years of industry or postdoctoral experience as full-stack software engineer.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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