Sr Manager, Machine Learning - Video AI Job at LinkedIn in New York
LinkedIn, New York, NY, US
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in New York, NY and will sit alongside our Video Engineering team. As a senior AI leader in NY, you will help lead the buildout of our AI presence in the New York office. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. This is a full-time engineering role based in New York, NY. The Video AI team sits at the heart of our LinkedIn’s ambitious growth strategy. Our team is a dynamic group of machine learning experts dedicated to revolutionizing the way we interact with video content. This team is at the forefront of developing cutting-edge artificial intelligence technologies that enhance video understanding, search, and personalization. By leveraging state-of-the-art AI techniques, the Video AI team is poised to open up new ways of engaging with videos on LinkedIn. Our work encompasses a range of applications, from real-time video analytics to intelligent content recommendation systems, positioning our company as a leader in the rapidly evolving landscape of video technology. As LinkedIn continues to revolutionize our market presence, the Video AI team’s expertise will be instrumental in shaping our product offerings and achieving our strategic goals, ensuring we stay ahead of the competition and deliver unparalleled value to our 1 billion+ global users. Below are a few examples of the problem spaces we work in (and much more!):
- Video Understanding: Building state of the art content understanding models and content embeddings to power all video use cases.
- Video Feed Personalization: Identifying the most engaging content and distributing to users.
- Video Search: Tackling the multimodal search problem, delivering videos that provide the highest user value.
- Video Safety: Safeguarding users from malicious actors and content, building an open and safe community for all.
- Participate in key technical and design discussions with technical leads in the team.
- Collaborate with application engineering, product, and partner teams to design machine learning solutions.
- Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments.
- Attract world class talent and provide technical guidance, career development, and mentoring to team members.
- BA/BS in Computer Science or other technical discipline, or related practical technical experience
- 7+ years of related industry experience
- 5+ year of experience machine learning, data mining, and information retrieval or natural language processing
- 3+ years of experience in software engineering/technical engineering management and people management
- Hands on experience in data modeling and machine learning
- MS or PhD in Computer Science, Machine Learning, Statistics or related fields
- 5+ years of experience in software engineering/technical engineering management and people management
- 9+ years of hands on experience in data modeling and machine learning
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview