LinkedIn is seeking a Senior Software Engineer to join their AI Platform team, focusing on scaling AI model training and serving infrastructure. This role offers an exciting opportunity to work at the forefront of AI technology, handling models with hundreds of billions of parameters.
The position involves working with cutting-edge technologies and frameworks including TensorFlow, PyTorch, and various open-source projects. You'll be responsible for building and optimizing large-scale distributed systems for AI model training and serving, working closely with internal teams and the open-source community.
The ideal candidate will have strong experience in distributed systems and deep learning infrastructure. You'll be working in a hybrid environment, with the flexibility to work both remotely and from LinkedIn offices in Mountain View, San Francisco, or Bellevue.
Key responsibilities include designing high-performance data I/O systems, enabling distributed training for massive models, and providing advanced support for internal AI teams. You'll also have the opportunity to mentor other engineers and help shape the technical culture of a growing team.
LinkedIn offers a comprehensive benefits package including competitive base salary ($128,000 - $210,000), equity compensation, health benefits, and flexible work arrangements. The company's mission to create economic opportunity for every member of the global workforce provides a meaningful context for your work.
This role offers excellent growth opportunities, working with some of the most advanced AI infrastructure at scale. You'll be part of a team that includes open source committers to major projects like TensorFlow, Horovod, and Ray, allowing you to make significant contributions to both LinkedIn's AI capabilities and the broader tech community.
The position requires at least 2 years of relevant experience, with a strong background in distributed systems and deep learning. You'll be working in a collaborative environment that values diversity, inclusion, and work-life balance, with the opportunity to make a real impact on LinkedIn's AI infrastructure and the millions of professionals who use the platform daily.