Senior AI Engineer, VideoAI

LinkedIn•Mountain View, CA

7d•$144,000 - $236,000•Hybrid

About The Position

The Video AI team sits at the heart of 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.

Requirements

BA/BS Degree in Computer Science, Machine Learning or related technical discipline, or related practical experience.
2+ years experience in software design, development, and algorithm related solutions.
2+ years experience in programming languages such as Java, Python, etc.
2+ years experience with machine learning, data mining, and information retrieval or natural language processing

Nice To Haves

4+ years of relevant AI/Machine Learning experience.
MS or PhD in Computer Science or related technical discipline
Experience with PyTorch or similar Deep Learning frameworks
Experience with Spark for data manipulation and transformation
Experience with A/B testing at scale in a consumer-facing product
Experience with AI code development (i.e ClaudeCode, Codex, Copilot)
Experience adapting pre-trained LLMs to production systems including fine-tuning and student-teacher model paradigms
Experience applying AI/ML to recommender systems at scale
Published work in academic conferences or industry circles.

Responsibilities

Own end-to-end machine learning systems that run in production at LinkedIn scale from multimodal video understanding and large-scale recommendation to retrieval, ranking, and search.
Own the production AI systems that connect members with relevant, engaging, and trustworthy video content.
Translate product requirements into scalable ML architectures.
Develop and deploy state-of-the-art models.
Design and evaluate online experiments.
Optimize the distributed GPU infrastructure that serves billions of recommendations in milliseconds.