LinkedIn, the world's largest professional network, is seeking a Senior Software Engineer to join their AI Platform team. This role offers an exciting opportunity to work on cutting-edge AI infrastructure that powers LinkedIn's machine learning capabilities across recommendation systems, large language models, and computer vision applications.
The position focuses on scaling LinkedIn's AI model training and feature engineering infrastructure, handling models with hundreds of billions of parameters. You'll work with state-of-the-art GPU technology and collaborate with the open source community, including projects like TensorFlow, Horovod, Ray, vLLM, and Huggingface.
As a Senior Software Engineer, you'll be responsible for designing and implementing high-performance data I/O systems, enabling distributed training for massive models, and optimizing deep learning frameworks. The role involves working with containerized infrastructure and requires expertise in both AI/ML technologies and distributed systems.
The ideal candidate should have at least 2 years of experience in building deep learning systems and working with languages like Java, Python, or C++. You'll be part of a team that values mentorship, innovation, and technical excellence, with opportunities to influence the direction of LinkedIn's AI infrastructure.
LinkedIn offers a hybrid work environment, competitive compensation ($128,000 - $210,000), comprehensive benefits, and the chance to work on technology that impacts millions of professionals worldwide. The position can be based in Mountain View, San Francisco, or Bellevue, providing flexibility in location while maintaining connection with the team and company culture.
This is an excellent opportunity for someone passionate about AI infrastructure who wants to make a significant impact on how LinkedIn leverages machine learning at scale. You'll be at the forefront of solving complex technical challenges while working with a talented team of engineers and researchers who are pushing the boundaries of what's possible in AI technology.