LinkedIn, the world's largest professional network, is seeking a Sr. Staff Software Engineer to join their AI Infrastructure team. This role offers an exciting opportunity to work on cutting-edge AI technologies and shape the future of machine learning at scale. The position focuses on building and optimizing LinkedIn's AI model training, feature engineering, and serving infrastructure that handles models with hundreds of billions of parameters.
The role combines deep technical expertise with leadership responsibilities, requiring both hands-on engineering skills and the ability to guide technical strategy. You'll work with state-of-the-art technologies including LLMs, GNNs, and advanced ML frameworks, while managing a GPU fleet with thousands of cards. The position involves optimizing performance across algorithms, AI frameworks, data infrastructure, and hardware.
As a Sr. Staff Engineer, you'll lead initiatives in model training infrastructure, working with popular libraries like Huggingface, Horovod, and PyTorch, and enabling distributed training for massive models. You'll also focus on model serving infrastructure, building low-latency applications for LLM and Personalization models at scale.
The hybrid work environment offers flexibility while maintaining strong team collaboration. LinkedIn provides competitive compensation ($180,000-$300,000), comprehensive benefits, and the opportunity to work with talented engineers and researchers. This role is perfect for someone passionate about AI infrastructure who wants to impact billions of users while advancing their career at a leading tech company.