LinkedIn, the world's largest professional network, is seeking a Sr. Staff Software Engineer to join their AI Platform team. This role presents an exceptional opportunity to work on cutting-edge AI infrastructure that powers LinkedIn's machine learning capabilities across recommendation systems, large language models, and computer vision applications.
The position focuses on building and scaling LinkedIn's AI model training and serving infrastructure, handling models with hundreds of billions of parameters. You'll work with state-of-the-art technologies and contribute to open-source projects, collaborating with industry leaders in machine learning infrastructure.
As a Sr. Staff Software Engineer, you'll lead technical strategy development, architect solutions for complex distributed systems, and mentor other engineers while building your personal brand in the AI industry. The role involves working with cutting-edge technologies including TensorFlow, PyTorch, DeepSpeed, and various deep learning frameworks.
The team maintains strong connections with the open-source community, with many team members being active contributors to projects like TensorFlow, Horovod, Ray, vLLM, and Huggingface. You'll have the opportunity to influence these projects and contribute to the broader AI infrastructure ecosystem.
Key responsibilities include designing high-performance data I/O systems, enabling distributed training for massive models, optimizing deep learning training processes, and building low-latency serving infrastructure. You'll work on both training and serving infrastructure, handling challenges of scale with billions of parameters and queries per second.
The position offers competitive compensation ($180,000 - $300,000), hybrid work arrangements, and the opportunity to work with LinkedIn's extensive GPU infrastructure. You'll be part of a team that's pushing the boundaries of AI technology while helping shape the future of professional networking.
This role is perfect for someone who combines deep technical expertise with leadership abilities and a passion for solving complex infrastructure challenges in the AI space. Join LinkedIn to help build the next generation of AI infrastructure that powers professional opportunities worldwide.