Software Engineer - AI Platform

LinkedIn is seeking a talented Software Engineer for their AI Platform team to help push the boundaries of scaling large models. This role offers an exciting opportunity to work at the forefront of AI technology within the world's largest professional network.

The position involves working with cutting-edge AI infrastructure, focusing on scaling LinkedIn's AI model training, feature engineering, and serving capabilities. You'll be handling models with hundreds of billions of parameters and working with large-scale feature engineering infrastructure for various AI use cases, from recommendation systems to large language models and computer vision applications.

As a member of the team, you'll collaborate with open source communities and work alongside many open source committers from projects like TensorFlow, Horovod, Ray, vLLM, and Huggingface. The role spans multiple critical areas including model training infrastructure, feature engineering, model serving infrastructure, and MLOps.

Key responsibilities include designing and implementing high-performance data I/O, enabling distributed training for massive models, optimizing deep learning processes, and developing containerized pipeline orchestration infrastructure. You'll work with state-of-the-art technologies and frameworks while contributing to LinkedIn's AI infrastructure at scale.

The ideal candidate should have experience in deep learning systems, distributed systems, and a strong foundation in various programming languages. This role offers excellent growth opportunities, competitive compensation, and the chance to impact AI development at a global scale while working in a flexible hybrid environment.