LinkedIn is seeking a Senior Software Engineer to join their AI Platform team, focusing on scaling large model training and feature engineering infrastructure. This role is part of LinkedIn's mission to create economic opportunity for every member of the global workforce through the world's largest professional network.
The position offers a hybrid work arrangement, combining remote work with office presence in Mountain View, San Francisco, or Bellevue. The team is at the forefront of AI innovation, working with models containing hundreds of billions of parameters and managing large-scale feature engineering infrastructure for various AI applications, from recommendation systems to computer vision models.
Key responsibilities include optimizing performance across algorithms, AI frameworks, data infrastructure, and hardware to maximize the efficiency of LinkedIn's GPU fleet. The role involves close collaboration with the open source community, with team members actively contributing to projects like TensorFlow, Horovod, Ray, vLLM, and DeepSpeed.
The ideal candidate will have experience in distributed systems and deep learning, with the ability to work on high-performance data I/O systems and containerized pipeline orchestration. They will join a team that values innovation, collaboration, and technical excellence, working on cutting-edge technologies like LLMs, GNNs, and Incremental Learning.
LinkedIn offers a comprehensive benefits package, including competitive base pay, annual performance bonuses, equity compensation, and extensive health and wellness programs. The company's culture emphasizes work-life balance, professional growth, and creating an inclusive environment where diverse perspectives are valued.
This role presents an exceptional opportunity to work with advanced AI technologies while contributing to LinkedIn's mission of connecting professionals worldwide. The position combines technical challenges with meaningful impact, offering the chance to shape the future of AI infrastructure at scale.