LinkedIn is seeking a Staff AI Scientist to drive cutting-edge AI research and development, with a focus on large-scale foundation models and AI innovations. This role combines advanced research with practical engineering, working on state-of-the-art deep learning architectures and large language models.
The position offers an opportunity to work at the intersection of AI research and engineering, developing solutions that will impact LinkedIn's global user base. You'll be responsible for advancing the company's AI capabilities through innovative research, model development, and system optimization.
As a Staff AI Scientist, you'll lead initiatives in large-scale model training, working with cutting-edge hardware and contributing to the academic community through publications. The role requires expertise in distributed systems, model parallelism, and hardware acceleration, combining theoretical knowledge with practical implementation.
The ideal candidate will have deep expertise in machine learning, demonstrated through both academic contributions and practical experience building large-scale AI systems. You'll work in a collaborative environment, mentoring others while pushing the boundaries of what's possible in AI at scale.
LinkedIn offers a comprehensive benefits package, including competitive compensation, health benefits, and equity opportunities. The hybrid work environment provides flexibility while maintaining strong team connections and collaboration. This is an exceptional opportunity to shape the future of AI technology while working with world-class researchers and engineers at one of the world's largest professional networks.