AI Research Scientist, Computer Vision - Wearables Multimodal AI - Reality Labs

The Reality Labs (RL) organization 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 in computer vision, machine learning, haptics, social interaction, and more. RL 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.


In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, visualization and toolings. In addition, there are opportunities to collaborate with researchers in Reality Labs Research (RL-R) and Facebook AI Research (FAIR).AI Research Scientist, Computer Vision - Wearables Multimodal AI - Reality Labs Responsibilities

• Leading, collaborating, and executing on research that pushes forward the state of the art in computer vision
• Contributing to experimental design, implementation, evaluation, and reporting results
• Working with and creating large datasets and evaluation benchmarks
• Collaborating with scientists and engineers in a large cross-functional team
• Building optimized software tooling and infrastructure to accelerate research outcomes

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Masters degree in Computer Science or related technical field, or equivalent practical experience.
• 5+ years of experience in one or more of the following areas: Deep Learning, Computer Vision, Computer Graphics, Robotics, or AI-Infrastructure
• Experience developing software and executing complex experiments
• Research experience in one or more of these areas: computer vision, multimodal perception, NLP, or HCI+perception
• Experience with Python and PyTorch

Preferred Qualifications

• PhD in computer vision and/or machine learning or related areas
• Publication record in AI conferences like ICCV, CVPR, NeurIPS, ICML, ACL, NAACL, CHI, ISMAR, UIST, VR, etc.
• Experience with C++, CUDA and model optimization

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$147,000/year to $208,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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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