National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Research Scientist Manager, Computer Vision & GenAI

Meta
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist - Applied Intelligence

Computer Vision Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Senior Data Scientist

Machine Learning Engineer

Research Scientist Manager, Computer Vision & GenAI

The Reality Labs organisation at Meta is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we’re just getting started. We are looking for an experienced leader to manage and continue to build a world-class computer vision and generative AI team dedicated to advancing the state-of-the-art of human-centric generative models, including multimodal talking heads, human video generation, AI-driven avatars, and the modelling of conversational and interactive mannerism. You will be responsible for recruiting, career growth, organisational health, guiding overall direction, and supporting multiple teams and projects working in a fast-paced multidisciplinary environment.

Responsibilities

  1. Build, lead, mentor, inspire, and enable a world-class CV and GenAI team.
  2. Work with leadership, researchers, and cross-functional teams to develop and pursue a vision for human-centric GenAI.
  3. Enable a team to research and develop advanced computer vision and GenAI technologies, including multimodal talking heads, human video generation, AI-driven avatars, and the modelling of conversational mannerism.
  4. Explore the problem and solution space through creating proofs of experience and getting feedback from user research.
  5. Establish a research/incubation/productisation roadmap and strategy.
  6. Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.).

Minimum Qualifications

  1. PhD in Computer Science or related field.
  2. Experience in computer vision, generative AI, computer graphics, or human-computer interaction research.
  3. Experience of building and managing high-performance teams in multi-disciplinary global organisations at the intersection of research and product.
  4. Technical knowledge in machine learning and optimisation.

Preferred Qualifications

  1. Research experience in facial analysis, affective computing, and face & body generation and animation.
  2. Experience as lead investigator for which results were achieved or established.
  3. Subject matter expertise demonstrated through publications, patents, and shipped products.
  4. Experience leading a team that transferred technology from research in computer vision and GenAI into a shipping product.
  5. Experience managing joint hardware-software development and associated rapid prototyping.
  6. Experience leading an organization at various levels ranging from interns to principal research scientists.

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.


#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.