LinkedIn, the world's leading professional network serving over 1 billion members, is seeking an AI Engineering Manager to lead their Trust and Anti-Abuse AI team. This is a crucial role focused on creating safe, authentic, and transparent experiences across the platform.
The position sits within the Account Abuse AI team, where you'll be responsible for building out next-generation abuse modeling ecosystems to combat fake accounts and harmful activities. You'll lead a team of talented engineers, driving innovation in machine learning and AI to protect LinkedIn's vast user base.
As the AI Engineering Manager, you'll wear multiple hats - from hands-on technical leadership to strategic planning and team development. You'll collaborate across functions with anti-abuse infrastructure engineering, product teams, data scientists, and Trust & Safety professionals to develop novel solutions to complex fraud and abuse challenges.
The role requires a blend of technical expertise in AI/ML and leadership capabilities. You'll need 5+ years of professional experience with AI algorithms, machine learning, and LLMs, along with either management experience or staff-level engineering experience. Your technical foundation should include understanding enterprise-grade architecture, distributed systems, and experimental design.
The position offers competitive compensation ($250,000-$268,000 base salary) plus additional benefits including annual bonus, sign-on bonus, and RSUs. Based in Sunnyvale, CA, this hybrid role combines remote work flexibility with in-office collaboration.
This is an opportunity to make a significant impact at scale, protecting millions of professionals while working with cutting-edge AI technology. You'll be at the forefront of fighting digital abuse, leading a team that directly contributes to maintaining the integrity of the world's largest professional network.
The ideal candidate will bring not just technical and management skills, but also the ability to tackle ambiguous problems, build consensus across teams, and inspire others to perform at their best. If you're passionate about using AI for good and want to lead a team making a real difference in professional social networking, this role offers the perfect platform to advance your career while driving meaningful impact.