Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As Research Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what’s to come. We’re the people helping to define the metaverse. We may not have all the answers. But together, we’re getting closer.Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on VLM, LLMs and related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 5+ years experience in one or more of the following areas: Deep Learning, Computer Vision, AR/VR, Machine Learning or artificial intelligence
• Experience developing computer vision algorithms or computer vision infrastructure in C/C++ or Python
• Industry experience working on VLM, LLMs and related topics
• Master’s degree in Computer Science, Computer Vision, Artificial Intelligence, Machine Learning, relevant technical field, or equivalent practical experience

PREFERRED QUALIFICATIONS:

• Experience in deep learning and PyTorch
• Experience in language guided vision systems
• Experience contributing to AI Publications

• Apply relevant AI and machine learning techniques to build intelligent rich perception systems that improve Meta’s products and experiences
• Assist in goal setting related to project impact, AI system design, and ML rigor
• Drive large efforts across multiple teams
• Mentor other AI Engineers and improve the quality of AI work in the broader team
• Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it