Senior Video AI Engineer: Production ML for Video

LinkedIn

California (MO)

Hybrid

USD 144,000 - 236,000

Full time

14 days+
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Benefits offered by this job

Health and wellness programs
Stock options
Annual bonus

Job summary

LinkedIn is seeking a Senior AI Software Engineer for the Video AI team to own end-to-end ML systems at scale for our billion-plus user base. You’ll drive multimodal video understanding, search, and content personalization, translating product needs into scalable architectures and deploying cutting-edge models.

You will collaborate with ML researchers and software engineers, run online experiments, optimize GPU infrastructure, and ensure trustworthy recommendations.

Qualifications

  • BA/BS 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

Responsibilities

  • Own end-to-end machine learning systems that run in production at LinkedIn scale, from multimodal video understanding to retrieval, ranking, and search.
  • Translate product requirements into scalable ML architectures, develop and deploy state-of-the-art models, and design online experiments.

Skills

Machine Learning
Deep Learning
Big Data
LLMs

Education

BA/BS in CS or ML or related field
MS/PhD in CS or related field

Tools

PyTorch
Spark
ClaudeCode
Codex
Copilot

Job description

LinkedIn is seeking a Senior AI Software Engineer for the Video AI team to own end-to-end ML systems at scale for our billion-plus user base. You’ll drive multimodal video understanding, search, and content personalization, translating product needs into scalable architectures and deploying cutting-edge models.

You will collaborate with ML researchers and software engineers, run online experiments, optimize GPU infrastructure, and ensure trustworthy recommendations.

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