AI Engineering Manager, Feed AI
About the position Team Overview: On the Feed AI team, our mission is to help all our 1B+ members advance their careers through having conversations with a variety of professional communities on the Feed. We are achieving this through building a knowledge marketplace with high-quality content, and nurturing the knowledge flow from our knowledge creators to knowledge seekers.We leverage machine learning techniques like Large Language Models, Generative Recommenders, Explore/Exploit, Deep Learning and Reinforcement Learning, coupled with multi-objective optimization and supply demand analysis. As an Engineering Manager at Feed AI, you will be jointly defining the vision/mission/strategy of Feed ecosystem along with Product and Data Science partners, chasing cutting-edge AI innovations with Foundation and Infra partners, and leading a group of machine learning engineers in tackling various ecosystem optimization and platformization problems. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. Responsibilities • Lead a team of ~10 machine learning engineers to deliver ecosystem-wide impact through LinkedIn newsfeed • Define data-driven product/technology strategic roadmap with product and data science partners • Build scalable AI innovations with foundation and infra partners • Grow/hire top talents and build a world-class team of passionate engineers. Requirements • 1+ year(s) of experience leading a team of AI/ML engineers as a people manager, or 1+ year(s) as a Staff Engineer with completion of a formal management training program. • 5+ years of industry experience, including significant work in the field of AI and/or Machine Learning. • BA/BS in Computer Science or other technical discipline, or related practical technical experience Nice-to-haves • 10+ years of overall experience in AI engineering and/or leadership. • 2+ years of management experience, leading teams of 5-10+ engineers. • PhD in Computer Science, Machine Learning, Statistics or related field. • Expert in recommendation system, LLM, knowledge graph, and natural language processing • Experience developing large scale, enterprise grade solutions/systems • Track record of producing papers in conferences such as KDD, WWW, WSDM, ... and patenting innovations Benefits • We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Apply tot his job