Staff Software Engineer, AI Platform

LinkedIn is seeking a Staff Software Engineer to join their AI Platform team, working on cutting-edge machine learning infrastructure and distributed systems. This role offers an exciting opportunity to shape the future of AI at one of the world's largest professional networks.

The position focuses on three key areas: Model Training Infrastructure, Feature Engineering, and Model Serving Infrastructure. You'll be working with state-of-the-art technologies to scale LinkedIn's AI capabilities, handling models with hundreds of billions of parameters and managing large-scale feature engineering infrastructure for various AI use cases.

As a Staff Engineer, you'll collaborate with talented researchers and engineers to push the boundaries of AI platform development. The role involves working with popular frameworks like TensorFlow, PyTorch, and Huggingface, while also contributing to the open-source community. You'll be responsible for optimizing performance across algorithms, AI frameworks, data infrastructure, and hardware to maximize the potential of LinkedIn's GPU fleet.

The position offers a hybrid work arrangement, allowing you to work both from home and from LinkedIn offices. The company provides comprehensive benefits, including health and wellness programs, competitive compensation, and opportunities for career growth. You'll be part of a team that values innovation, collaboration, and technical excellence.

Key responsibilities include owning technical strategy, designing large-scale distributed systems, improving system observability, mentoring other engineers, and working with the open-source community. The ideal candidate should have extensive experience in deep learning systems, distributed computing, and strong programming skills in languages like Java, Python, or C++.

LinkedIn's culture emphasizes creating economic opportunity for every member of the global workforce. The company believes in fostering an environment where everyone feels a sense of belonging and values skills above all. This role offers the chance to make a significant impact on LinkedIn's AI infrastructure while working with some of the most advanced technologies in the field.