Meta is a technology company focused on connecting people and building immersive experiences. They are seeking a Contextual AI Research Engineer to architect, develop, and integrate advanced contextual AI systems for real-time device operation and cloud connectivity.
Responsibilities:
- Architect, build, and integrate real-time prototypes for advanced device systems as part of a fast-moving research engineering team
- Develop and maintain robust pipelines for sensor data collection, processing, and streaming between devices and cloud services
- 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 throughout the project lifecycle
- 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