Senior AI Engineer, VideoAI

Company Description

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

This role will be based in New York or Mountain View, CA.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 

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.

Responsibilities

The Video AI team is at the forefront of building the AI systems that power LinkedIn's next generation of video experiences for more than one billion members. As a Senior AI Software Engineer, you will 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. You won't just train models; you'll own the production AI systems that connect members with relevant, engaging, and trustworthy video content. Your responsibilities span the entire product lifecycle, from translating product requirements into scalable ML architectures, developing and deploying state-of-the-art models, designing and evaluating online experiments, to optimizing the distributed GPU infrastructure that serves billions of recommendations in milliseconds.

Qualifications

Basic Qualifications:

• 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

Preferred Qualifications:

• 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.

Suggested Skills

• Experience in Machine Learning and Deep Learning

• Experience in Big Data

• Strong technical background & Strategic thinking

• Exp