Staff AI Scientist

LinkedIn, the world's largest professional network, is seeking a Staff AI Scientist to lead cutting-edge AI research and development. This role is pivotal in advancing LinkedIn's efforts in large-scale foundation models and AI innovations, with a focus on Large Language Models (LLMs) and state-of-the-art deep learning architectures.

The position offers an exciting opportunity to work at the intersection of AI research and engineering, developing and scaling multi-billion parameter models to serve LinkedIn's global user base. You'll be working with cutting-edge technology, including GPUs and specialized hardware for optimal performance, while collaborating with world-class researchers and engineers.

As a Staff AI Scientist, you'll lead research initiatives, publish findings in top AI venues, and contribute to the next generation of AI models. The role involves complex problem-solving in distributed training, model parallelism, and system co-design. You'll be responsible for developing scalable AI pipelines and optimizing training and inference workflows for vast amounts of data.

The ideal candidate will have deep expertise in large model training, post-training techniques, and reinforcement learning. You'll need strong programming skills in languages like Python and Java, along with experience in frameworks such as PyTorch and CUDA. The role requires both technical excellence and leadership abilities, as you'll be mentoring junior engineers and collaborating across teams.

LinkedIn offers a competitive compensation package, including base pay, annual performance bonus, and stock options. The company provides comprehensive health benefits and promotes work-life balance through various wellness programs. The hybrid work environment allows for flexibility while maintaining team collaboration and innovation.

Join LinkedIn to be at the forefront of AI innovation, working on projects that impact millions of professionals worldwide. You'll have the opportunity to publish research, advance your career, and contribute to LinkedIn's mission of creating economic opportunity for every member of the global workforce.