As a Principal Staff Engineer on the Video AI team, you will lead cutting-edge AI initiatives that enhance video content interactions on LinkedIn. Your leadership will drive the development of advanced technologies for video understanding, personalization, and safety.
Key Responsibilities
- Technical Leadership. Guide design discussions with Product, Platform, and AI/ML Engineers across the Video stack.
- Strategic Alignment. Collaborate with cross-functional teams to establish and implement technology strategies.
- Quality Standards. Set high standards for software quality and efficiency, balancing business needs and operational impact.
- Mentorship. Attract and mentor top talent, fostering a culture of innovation and craftsmanship.
- Industry Representation. Serve as an AI & Video thought leader at industry forums.
Basic Qualifications
- BA/BS in Computer Science or related field.
- 7+ years in software design and development.
- 7+ years programming in languages such as Python.
- 5+ years in an architectural or technical leadership role.
- Experience in Machine Learning, AI, and Consumer Video technologies.
Preferred Qualifications
- PhD in a related field.
- Proven track record in deploying large-scale AI systems, especially video recommendation systems.
- 9+ years in AI/Data Science and Machine Learning.
- Strong communication and presentation skills.
Suggested Skills
- Video Application Architecture
- Machine Learning Expertise
Compensation. LinkedIn values fair and equitable compensation practices, with packages including performance bonuses, stock options, and comprehensive benefits.
Commitment to Diversity. LinkedIn is proud to be an equal opportunity employer, committed to diversity in the workforce. We welcome applications from all qualified candidates regardless of their background.