Staff Software Engineer, AI Platform

LinkedIn is seeking a Staff Software Engineer to join their AI Platform team, focusing on scaling large model training and serving infrastructure. This is a unique opportunity to work at the intersection of cutting-edge AI technology and enterprise-scale systems.

The role involves pushing the boundaries of scaling large models, with responsibilities spanning model training infrastructure, feature engineering, and model serving infrastructure. You'll work with models containing hundreds of billions of parameters, optimize performance across various layers of the stack, and collaborate with the open source community on popular frameworks and tools.

The position offers the chance to work on diverse technical challenges, from high-performance data I/O to distributed training systems, feature platform development, and low-latency serving infrastructure. You'll be handling scale at impressive levels - managing thousands of QPS, processing multiple terabytes of data, and working with billions of model parameters.

As a Staff Engineer, you'll have significant technical leadership responsibilities, including owning technical strategy, mentoring other engineers, and defining the team's technical culture. The role requires deep expertise in distributed systems and machine learning infrastructure, with opportunities to influence both internal systems and the broader open-source community.

The team works with cutting-edge technologies including LLMs, GNNs, and various deep learning frameworks. You'll be part of LinkedIn's hybrid work culture, combining remote work flexibility with in-office collaboration. The position offers competitive compensation and the opportunity to impact how millions of professionals connect and advance their careers through AI-powered features.

This is an ideal role for someone who wants to work at the forefront of AI infrastructure while having significant technical impact at scale. The position requires both deep technical expertise and leadership skills, offering a chance to shape the future of AI at LinkedIn while working with some of the most advanced technologies in the field.