Meta is seeking a Software Engineer, Infrastructure to join their Facebook Video ML foundation team. This role focuses on optimizing the end-to-end stack for model training and inference for large-scale recommendation models. The position offers opportunities in distributed systems, model/system co-design, and GPU optimizations.
The role involves identifying and leading the execution of short/mid-term opportunities for efficiency optimization, while also driving long-term strategies and shaping team direction. You'll work on model/system co-design and enable new model paradigms to enhance recommendation experiences.
As part of Meta, you'll be working with technologies that connect billions of people worldwide through platforms like Facebook, Instagram, and WhatsApp. The company is also pushing boundaries in AR/VR technology, working towards building the next evolution in social technology.
The ideal candidate should have strong programming experience, particularly in building large-scale infrastructure systems. Experience with ML infrastructure systems, GPU training clusters, and high-performance computing would be valuable. You'll be working in a collaborative environment, helping other engineers optimize performance and solve complex technical challenges.
This role offers the opportunity to impact billions of users while working with cutting-edge ML technologies and infrastructure at one of the world's leading tech companies. Join Meta to shape the future of social technology and work on challenges at unprecedented scale.