Senior Staff AI Engineer - Marketing Solutions Agentic Team

LinkedIn, the world's largest professional network, is seeking a Senior Staff AI Engineer to join their Marketing Solutions Agentic team. This role presents a unique opportunity to shape the technical direction of AI-powered marketing solutions in a $5.5B+ business unit.

The position involves working on cutting-edge AI technologies, including generative AI, embedding-based retrieval, and fine-tuning techniques, to build a zero-to-one product that will revolutionize how marketers reach and engage their audience. You'll be at the forefront of developing AI agents that enable personalized marketing experiences at scale.

As a Senior Staff Engineer, you'll lead the technical vision while working with large-scale data and implementing advanced AI techniques such as multi-task learning, transfer learning, and deep learning. The role requires both technical expertise and leadership skills, as you'll be guiding junior engineers and collaborating across multiple teams.

The position offers competitive compensation ($285,000-$315,000 base salary plus annual bonus and RSUs) and comprehensive benefits. LinkedIn provides a hybrid work environment, combining remote work flexibility with in-office collaboration at their Sunnyvale location.

This is an ideal opportunity for an experienced AI engineer who wants to make a significant impact at scale, working with state-of-the-art AI technologies while helping shape the future of marketing solutions. The role combines technical depth with strategic leadership, offering the chance to influence both product direction and technical architecture in a rapidly growing business unit.

Key aspects include:

• Leading the technical vision for AI-powered marketing solutions
• Working with cutting-edge AI technologies and large-scale data
• Providing technical leadership and mentorship
• Collaborating across multiple teams and disciplines
• Contributing to industry research and innovation

The position requires strong expertise in machine learning, deep learning, and large language models, combined with proven leadership experience and the ability to drive technical excellence across teams.