Reality Labs Research (RL-R) unites an industry-leading team of researchers, developers, and engineers to advance AR and VR technologies. The Surreal research group at RL-R is seeking an Research Scientist (IC6) with proven experience in agentic AI to tackle challenges in machine perception and Contextual AI. You will play a pivotal role in developing research devices and algorithms that understand the world from a human’s perspective, laying the foundation for future AR glasses and immersive experiences.As an IC6 Research Scientist, you will drive the design, analysis, and optimization of Contextual AI algorithms for Project Aria and related prototypes. You will collaborate across disciplines to push the boundaries of computer vision, multimodal AI, and real-time systems, with a focus on low-power, on-device, and distributed processing.
Contextual AI Research Scientist Responsibilities:
- Lead research and development of Contextual AI algorithms for next-generation AR devices, including Project Aria prototypes
- Design, analyze, and optimize real-time computer vision and machine learning algorithms across heterogeneous compute platforms (custom Meta SoCs, mobile, and cloud)
- Translate cutting-edge research ideas into efficient, scalable implementations through algorithm and model adaptation
- Characterize and tune models for device-specific use cases, optimizing for low power, low latency, and limited memory
- Architect and optimize Contextual AI systems spanning glasses, mobile devices, and cloud-based processing chains
- Collaborate with cross-functional teams of scientists and engineers, making architectural trade-offs to deliver multimodal contextual AI solutions
- Mentor and influence engineers and researchers in a collaborative environment
- Communicate complex technical concepts and research findings clearly to broad audiences
- Stay abreast of emerging technologies and research, embracing ambiguity and driving innovation in real-time Contextual AI
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Extensive experience leading and delivering solutions in core Computer Vision and multimodal AI
- Proven track record in low-latency, server-side systems and distributed processing
- Demonstrated experience to plan and execute multi-year research roadmaps, aligning short-term projects with long-term vision
- Experience mentoring and influencing engineers and researchers across organizations
- 10+ years deploying foundational research into machine learning products
- Master's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
Preferred Qualifications:
- Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related field
- Expertise in Computer Vision, Robotics, Sensor Fusion, or Machine Learning
- Experience technically leading teams of ML and software engineers, owning the full model lifecycle from research to deployment
- Track record of shipping computer vision or image processing products to millions of users, or initiating new product lines
- Experience in rapid prototyping of systems spanning devices and backend services
- Background in embedded or real-time systems
- Publication record in relevant fields
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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/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.
