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 machine learning platforms at scale.
The position focuses on building and scaling LinkedIn's AI model training, feature engineering, and serving infrastructure handling models with hundreds of billions of parameters. You'll be working with state-of-the-art technologies including large language models, recommendation systems, and computer vision models while optimizing performance across algorithms, frameworks, and hardware.
As a technical leader, you'll drive initiatives across multiple teams, mentor engineers, and collaborate with the open-source community. The team has many open source committers contributing to projects like TensorFlow, Horovod, Ray, vLLM, and DeepSpeed. You'll be involved in both training and serving infrastructure, working on challenges like distributed training, model parallelism, and high-performance inference.
The role offers a hybrid work arrangement, combining remote work with office presence. You'll be part of LinkedIn's mission to create economic opportunity for every member of the global workforce while working in an environment that values belonging and career growth.
Key technical areas include:
The position requires deep expertise in machine learning systems, distributed computing, and technical leadership. You'll work with cutting-edge AI technologies while having the opportunity to influence the direction of AI infrastructure at one of the world's largest professional networks.
The compensation package includes competitive base salary, annual performance bonus, equity, and comprehensive benefits. Join LinkedIn to push the boundaries of AI scaling and build your career in the AI industry while working with talented teams of researchers and engineers.