Senior AI Engineer, VideoAI

Linkedin3; Mountain View (CA); Hybrid; USD 144,000 - 236,000; Full time

Job summary

LinkedIn is seeking a Senior AI Software Engineer to own end-to-end ML systems in production at scale, spanning multimodal video understanding, large-scale recommendations, and search. You will translate product needs into scalable architectures, train and deploy advanced models, and run online experiments to optimize performance.

The role emphasizes building production AI systems, GPU-accelerated inference, and delivering engaging, trustworthy video content for over a billion members.

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.

Responsibilities

• Own end-to-end machine learning systems in production at LinkedIn scale, from multimodal video understanding to recommendation and search.
• Translate product requirements into scalable ML architectures and deploy state-of-the-art models.
• Design and evaluate online experiments and optimize distributed GPU infrastructure for billions of recommendations in milliseconds.

Skills

Machine Learning

Software Development

Java/Python

Education

Bachelor's degree in CS/ML

MS or PhD in CS or related field

Tools

PyTorch

Spark

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 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.

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
• Experience in GAI and/or LLMs

You Will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $144,000 - $236,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer.