LinkedIn is seeking a Software Engineer to join their AI Platform team, focusing on scaling large-scale AI model training and serving infrastructure. This role offers an exciting opportunity to work at the intersection of AI and distributed systems at one of the world's largest professional networks.
The position involves building and optimizing LinkedIn's AI infrastructure that handles hundreds of billions of parameters models and large-scale feature engineering. You'll work with cutting-edge technologies and frameworks including TensorFlow, PyTorch, Horovod, and various open-source tools. The role spans across model training infrastructure, feature engineering, and model serving components.
As a member of the team, you'll be responsible for designing high-performance data I/O systems, enabling distributed training at massive scale, and optimizing deep learning workflows. You'll collaborate with open source communities and have the opportunity to contribute to popular frameworks and tools.
The ideal candidate should have experience in machine learning systems, distributed computing, and software engineering. You'll be working in a hybrid environment, combining remote work with in-office collaboration at LinkedIn's state-of-the-art facilities in Mountain View, San Francisco, or Bellevue.
LinkedIn offers competitive compensation, comprehensive benefits, and the chance to work on technology that impacts millions of professionals worldwide. You'll be part of a team that pushes the boundaries of AI scaling while maintaining LinkedIn's commitment to creating economic opportunity for every member of the global workforce.
This role provides excellent growth opportunities, allowing you to work with talented researchers and engineers while building your career in the AI industry. You'll have access to LinkedIn's vast resources and be part of a company culture that values innovation, collaboration, and professional development.