LinkedIn is seeking a Software Engineer to join their AI Platform team, focusing on scaling large model training and serving infrastructure. This role is at the forefront of AI innovation, working with cutting-edge technologies and frameworks to build and optimize machine learning systems at scale.
The position offers an exciting opportunity to work on LinkedIn's AI infrastructure, which handles hundreds of billions of parameters models and large-scale feature engineering. You'll be part of a team that pushes the boundaries of AI model training and serving, working with state-of-the-art technologies and frameworks including TensorFlow, PyTorch, Horovod, and more.
As an AI Platform Engineer, you'll be responsible for building and optimizing the next-generation training infrastructure that powers LinkedIn's AI use cases. This includes working on high-performance data I/O, distributed training systems, and advanced model serving capabilities. You'll collaborate with open source communities and have the opportunity to contribute to popular frameworks and libraries.
The role combines deep technical expertise in machine learning systems with practical engineering skills. You'll work on challenges involving scale (processing billions of parameters), performance optimization, and system architecture. The position offers exposure to various aspects of AI infrastructure, from model training to serving and feature engineering.
LinkedIn offers a hybrid work environment, competitive compensation, and comprehensive benefits. You'll be part of a company that values innovation, collaboration, and professional growth. The role provides an excellent opportunity to work with talented engineers and researchers while contributing to technology that impacts millions of professionals worldwide.