Contextual AI Research Engineer

Meta Reality Labs Research (RL Research) is seeking a software engineer to build advanced end-to-end contextual AI systems. The team aims to deliver reliable, scalable, and performant infrastructure for egocentric devices, supporting features like on-device ML, navigation, localization, sensor data streaming, and cloud connectivity.

Requirements

• Architect, build, and integrate real-time prototypes for advanced device systems
• Develop and maintain robust pipelines for sensor data collection, processing, and streaming
• Lead device-to-cloud integration efforts, ensuring secure, reliable, and scalable communication and data transfer
• Conduct design and code reviews, mentor engineers, and provide technical guidance and support
• Analyze and improve efficiency, scalability, and stability of system resources and infrastructure
• Set direction and goals for the team regarding project impact, product quality, and engineering efficiency
• Lead major initiatives, projects, roll-outs, and phased releases for end-to-end system integration
• Collaborate with cross-functional partners in hardware, firmware, cloud infrastructure, and product teams
• Debug and resolve hardware/software bottlenecks, including connectivity reliability, camera calibration, and sensor integration
• Release engineering for major software versions, including validation, documentation, and cross-team coordination
• Lead incident response and mitigation for critical system outages, collaborating with cross-functional partners

Benefits

• Paid Time Off
• 401(k) Matching
• Retirement Plan
• Bonus
• Equity