LinkedIn is seeking a Principal Staff Software Engineer to join their AI Platform group, specifically focusing on the AI Training team. This role is pivotal in developing and maintaining highly scalable deep learning training solutions that power LinkedIn's expanding AI initiatives. The position offers a unique opportunity to work with cutting-edge technology, including training models with hundreds of billions of parameters across recommendation systems, large language models (Generative AI), and computer vision applications.
The role involves optimizing training performance across multiple dimensions - from algorithms and AI frameworks to infrastructure software and hardware - to maximize the potential of LinkedIn's extensive GPU fleet. The team has a strong open source presence, with many team members being active contributors to projects like TensorFlow, Horovod, and Ray.
As a Principal Staff Engineer, you'll be at the forefront of developing next-generation training infrastructure, working with technologies like LLMs, GNNs, and advanced LLM Agents. Your responsibilities will include designing high-performance AI training pipelines, collaborating with open source communities, and providing technical leadership across multiple initiatives.
The position offers competitive compensation ($207,000 - $340,000) and comprehensive benefits, including medical, dental, and vision insurance, 401(k), and parental leave. The role provides a hybrid work arrangement, allowing flexibility between remote work and office presence in Mountain View, San Francisco, or Bellevue.
This is an exceptional opportunity for a seasoned engineer to make a significant impact on AI infrastructure at scale, working with a team of experienced professionals who are actively shaping the future of professional networking and AI applications. The role requires deep expertise in distributed systems, machine learning infrastructure, and technical leadership, making it ideal for someone who wants to drive innovation in AI training platforms while working with cutting-edge technologies.