Applied Research Scientist - Reality Labs Research

Meta Platforms • Redmond, WA

147d

About The Position

At Reality Labs Research (RL Research), we have built a world class team of researchers and engineers, working together across a broad range of disciplines from machine perception and artificial intelligence to operating systems and hardware. The Surreal team at RL Research is seeking an exceptional researcher that can accelerate our mission to build a new class of spatial and contextualized AI, and lay the foundations for a new computing paradigm that is built from the ground to understand the physical world from egocentric devices. The scientist in this role will be self-driven, creative and have experience with coordinating across a multidisciplinary engineering team to bring a prototype from concept to realization. This person will take initiative and should be willing to execute consistently in an agile, fast-paced environment.

Requirements

• PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 4+ years of research and/or work experience in machine learning, computer vision, and generative AI.
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops and conferences such as CVPR, ICCV, Neurips or similar.
• Experience working autonomously, handling concurrent projects where timelines may be ambiguous or changing, and prioritizing by balancing required effort with resulting impact.
• Experience in Python and C/C++.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience with building contextual AI applications, e.g. LLM and VLM.
• Experience in 2D/3D perception, including detection, segmentation and tracking.

What This Job Offers

• Career Level: Senior
• Industry: Broadcasting and Content Providers
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees