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Research Engineer, ML, AI & Computer Vision

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Meta

16d ago

  • Job
    Full-time
    Senior Level
  • Research & Development
    IT & Cybersecurity
  • London

AI generated summary

  • You need an MSc/PhD in a related field, 5+ years in C++, experience in Unix, strong CV/AI skills, collaborative experience, and a solid background in distributed systems and full-stack engineering.
  • You will implement advanced AI systems, collaborate on projects from research to prototyping, and define system roadmaps with cross-functional teams in computer vision and machine learning.

Requirements

  • 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.
  • 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.

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

FAQs

What is the primary focus of the Research Engineer position in ML, AI & Computer Vision at Meta Reality Labs?

The primary focus is to develop, advance, and integrate ML and computer vision models and software systems for advanced, full-stack, real-time machine perception and AI prototypes for egocentric devices.

What qualifications are required for this position?

The minimum qualifications include an MSc or PhD degree in Computer Science, Computer Vision, Robotics, or a related technical field, experience in Computer Vision and Perception for Robotics or smart device technologies, mastery of modern C++, experience working in a Unix environment, and interpersonal experience in cross-group collaboration.

How many years of experience are required for this role?

A minimum of 5+ years of experience is required.

Are there any preferred qualifications for this position?

Yes, preferred qualifications include industry experience with real-time SLAM, 3D reconstruction, scene understanding, experience in robotics and agentic AI systems, demonstrated software engineering experience, broad experience with distributed systems and cloud services, and 3+ years of industry or postdoctoral experience as a full-stack software engineer.

Will I be collaborating with other teams?

Yes, you will be collaborating with cross-functional engineering and research teams from Reality Labs and FAIR in various domains such as computer vision, machine learning, and graphics.

What technologies will I be working with?

You will be working with machine perception technology, including 3D environment and object reconstruction, semantic understanding, user motion estimation, and AI prototypes for egocentric devices.

Does Meta provide benefits in addition to salary?

Yes, Meta offers benefits in addition to base compensation; details can be learned more about in the benefits section on Meta’s website.

What is the culture like at Meta?

Meta builds technologies that help people connect and grow, moving beyond 2D screens toward immersive experiences like augmented and virtual reality, fostering a culture aimed at shaping the future of social technology.

Is prior experience in internships or open-source contributions valued for this position?

Yes, demonstrated software engineering experience via internships, work experience, coding competitions, or contributions to open source repositories is valued and considered a preferred qualification.

What kind of systems will I be implementing and prototyping in this role?

You will be implementing and prototyping advanced research systems and technologies for AI and machine perception, spanning both device and cloud environments.

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

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.