LinkedIn, the world's largest professional network, is seeking a Sr. Staff Software Engineer to join their AI Infrastructure team. This role presents an exciting opportunity to work on cutting-edge AI technologies and shape the future of professional networking at scale.
The position focuses on building and optimizing LinkedIn's AI model training, feature engineering, and serving infrastructure. You'll be working with models containing hundreds of billions of parameters, spanning recommendation systems, large language models, and computer vision applications. The team leverages a substantial GPU fleet with thousands of latest-generation cards to power these AI capabilities.
As a Sr. Staff Software Engineer, you'll tackle challenges in both model training and serving infrastructure. On the training side, you'll design high-performance data I/O systems, collaborate with open-source communities (Huggingface, Horovod, PyTorch), enable distributed training for massive models, and build containerized pipeline orchestration infrastructure. For serving, you'll develop low-latency applications handling complex models, implement GPU-based inference, and optimize performance at scale.
The role offers a unique blend of technical challenges, including:
LinkedIn offers a hybrid work environment, competitive compensation ($180,000-$300,000), comprehensive benefits, and the opportunity to impact how professionals worldwide connect and grow. You'll work with talented teams of researchers and engineers while building your career and personal brand in the AI industry.
The ideal candidate brings strong software engineering fundamentals, distributed systems experience, and deep knowledge of machine learning infrastructure. This role provides the opportunity to shape the technical direction of AI at LinkedIn while solving complex challenges at massive scale.