Staff AI Scientist

LinkedIn, the world's largest professional network, is seeking a Staff AI Scientist to drive cutting-edge AI research and development. This role focuses on advancing large-scale foundation models and AI innovations, particularly in the development and optimization of Large Language Models (LLMs). The position offers a hybrid work environment in the San Francisco Bay Area, with competitive compensation ranging from $164,000 to $268,000 annually.

The ideal candidate will play a crucial role in developing and scaling AI systems that serve LinkedIn's global user base. Key responsibilities include leading research in foundation AI models, publishing findings in top AI venues, and collaborating with cross-functional teams to implement AI innovations across LinkedIn's products. The role requires expertise in large-scale model training, distributed systems, and hardware acceleration.

Candidates should have at least 4 years of experience in machine learning or AI engineering, with strong programming skills in languages like Python and Java. A background in Computer Science or related field is required, while a PhD with focus on advanced AI/ML techniques is preferred. The position offers opportunities to work with state-of-the-art technology and contribute to groundbreaking AI research.

LinkedIn offers comprehensive benefits including health and wellness programs, equity compensation, and performance bonuses. The company's commitment to diversity and inclusion creates an environment where innovation thrives. This role presents an exceptional opportunity to work at the forefront of AI technology while impacting the world's largest professional network.

Join LinkedIn's world-class team to push the boundaries of AI at scale, working on complex problems in distributed training, model parallelism, and system co-design. The position offers both technical challenges and leadership opportunities, including mentoring junior engineers and contributing to team growth.