Director, Software Engineering, Machine Learning

LinkedIn is seeking a Director of Software Engineering for Machine Learning to lead their Content Abuse Engineering charter in Bangalore, India. This senior leadership role sits within LinkedIn's Trust organization, which is responsible for maintaining platform safety and trust through cutting-edge AI technology.

The position requires an exceptional leader with deep expertise in machine learning, particularly in areas like NLP, computer vision, and generative AI. The ideal candidate will have 15+ years of ML experience, advanced education in Computer Science or AI, and a proven track record of managing large engineering teams (30+ people).

As Director, you'll lead both the Content Abuse AI team, which builds models to detect and prevent violating content, and the Content Abuse Apps Engineering team, which develops end-to-end moderation solutions. Key responsibilities include driving technical strategy, partnering with cross-functional teams, and building LinkedIn's AI presence in India.

The role offers a hybrid work environment, allowing flexibility to work from home or office as needed. LinkedIn emphasizes trust in their employees to work where they're most effective. The position provides an opportunity to work on large-scale AI systems that directly impact millions of users worldwide.

This is an exceptional opportunity for an experienced engineering leader who is passionate about applying AI to real-world problems, has strong technical depth in machine learning, and can inspire and grow large teams. The role combines technical leadership, people management, and strategic thinking to help keep LinkedIn's platform safe and trusted.