Principal Staff Software Engineer, AI Training Platform

LinkedIn is seeking a Principal Staff Software Engineer to join their AI Training Platform team. This role is crucial in developing and maintaining highly available and scalable deep learning training solutions for LinkedIn's growing AI initiatives. The position involves working with cutting-edge technologies including large language models, recommendation systems, and computer vision models.

The role combines technical leadership with hands-on development, requiring expertise in distributed systems, deep learning frameworks, and large-scale infrastructure. You'll be working with a team that manages training infrastructure for models with hundreds of billions of parameters, optimizing performance across various levels from algorithms to hardware.

As a technical leader, you'll be responsible for shaping the architecture and direction of LinkedIn's AI training infrastructure, mentoring team members, and collaborating with the open-source community. The team has a strong presence in open source, with many team members being committers to projects like TensorFlow, Horovod, and Ray.

The position offers competitive compensation, comprehensive benefits, and the opportunity to work in a hybrid environment. You'll be based in one of LinkedIn's major tech hubs and will have the flexibility to balance remote work with in-office collaboration. This is an excellent opportunity for an experienced engineer looking to make a significant impact on AI infrastructure at scale.

The ideal candidate will bring deep technical expertise in distributed systems and machine learning infrastructure, along with strong leadership skills and a track record of delivering complex technical projects. You'll be working at the forefront of AI technology, helping to build the systems that power LinkedIn's next generation of AI-driven features and capabilities.