LinkedIn, the world's leading professional networking platform serving over 1 billion members, is seeking an AI Engineering Manager to lead their Trust / Anti-Abuse AI team. This is a crucial role focused on creating safe, authentic, and transparent experiences across the platform.
As the AI Engineering Manager for the Account Abuse AI team, you'll be at the forefront of building next-generation abuse modeling ecosystems to combat fake accounts and harmful activities on LinkedIn. Your team will be responsible for developing and implementing sophisticated AI and machine learning solutions that protect LinkedIn's vast user base.
The role combines technical leadership with people management, requiring both deep expertise in AI/ML and strong leadership capabilities. You'll manage and mentor a team of engineers while staying heavily involved in technical architecture and design decisions. The position offers an opportunity to work on challenging problems in the fraud and abuse space at massive scale.
Key technical areas include machine learning, LLMs, and anti-abuse systems. You'll collaborate across functions with infrastructure engineering, product, data science, and Trust & Safety teams to develop novel solutions. The role requires strong architectural knowledge of enterprise-grade ML systems, distributed computing, and experimental design.
The position offers competitive compensation including base salary, annual bonus, sign-on bonus, and RSUs. LinkedIn provides comprehensive benefits including health coverage, 401k, and generous time-off policies. The hybrid work arrangement allows for both remote work and in-office collaboration at the Sunnyvale headquarters.
This is an exceptional opportunity to lead AI innovation at scale while directly contributing to maintaining trust and safety for LinkedIn's global professional community. The role offers significant technical challenges, leadership growth, and meaningful impact on how professionals connect and achieve their career goals worldwide.