Summary:
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.
Required Skills:
Research Scientist Manager, Computer Vision & GenAI 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:
Minimum Qualifications:
1. Experience in computer vision, generative AI, computer graphics, or human-computer interaction research
2. Experience of building and managing high-performance teams in multi-disciplinary global organisations at the intersection of research and product
3. Technical knowledge in machine learning and optimisation
Preferred Qualifications:
Preferred Qualifications:
1. Research experience in facial analysis, affective computing, and face & body generation and animation.
2. Subject matter expertise demonstrated through publications, patents, and shipped products.
3. Experience leading a team that transferred technology from research in computer vision and GenAI into a shipping product.
4. Experience as lead investigator for which results were achieved or established
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.
Industry: Internet
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