Staff Engineer - ML Systems (CoreAI)

LinkedIn is seeking a Staff Engineer to join their CoreAI organization, focusing on machine learning systems development. This role sits at the heart of LinkedIn's AI innovation center, addressing fundamental AI challenges and driving next-generation AI-driven member experiences.

The position offers an exciting opportunity to work with big data and cutting-edge machine learning technologies, developing solutions that impact millions of users. As a Staff Engineer, you'll be responsible for designing and implementing scalable data pipelines, training sophisticated machine learning models, and building robust serving systems.

The role combines technical leadership with hands-on development, requiring expertise in distributed systems, machine learning infrastructure, and deep learning frameworks. You'll work with a talented team of 10+ machine learning engineers, collaborating to deliver high-impact solutions across LinkedIn's platform.

Key responsibilities include architecting ML systems, implementing production-quality code, and driving cross-functional communication. The ideal candidate should have strong experience with Java, Python, or Scala, along with deep knowledge of machine learning frameworks like PyTorch and TensorFlow.

LinkedIn offers a competitive compensation package, including a base salary range of $200,000 - $268,000, plus annual performance bonus and equity. The company provides comprehensive benefits including health coverage, wellness programs, and flexible time off. The position offers a hybrid work arrangement based in the San Francisco Bay Area.

This is an exceptional opportunity to join a leading technology company and work on cutting-edge AI solutions that shape the future of professional networking. You'll be part of LinkedIn's mission to create economic opportunity for every member of the global workforce, while working in an inclusive environment that values diversity and supports career growth.