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Machine Learning Engineer (L5) - Studio Media Algorithms

One of the world's leading entertainment services with 283 million paid memberships in over 190 countries enjoying TV series, films and games.
United States
$150,000 - $750,000
Machine Learning
Staff Software Engineer
Remote
5,000+ Employees
5+ years of experience
AI · Entertainment

Description For Machine Learning Engineer (L5) - Studio Media Algorithms

Netflix is seeking a seasoned Machine Learning Engineer for their Studio Media Algorithms team to build a next-generation Media Search system. This role is critical in enhancing the content creation process and increasing member value worldwide. The position focuses on developing and implementing advanced machine learning solutions using LLMs, VLMs, and Computer Vision technologies. The ideal candidate will work at the intersection of artificial intelligence and media production, building systems that support creators and improve the entertainment production workflow. The role offers competitive compensation ($150,000 - $750,000) and the opportunity to work with cutting-edge AI technologies in a remote environment. Netflix's commitment to inclusion and diversity makes this an excellent opportunity for talented ML engineers looking to make a significant impact in the entertainment industry.

Last updated 2 days ago

Responsibilities For Machine Learning Engineer (L5) - Studio Media Algorithms

  • Design and develop machine learning models that enhance media search capabilities
  • Develop innovative algorithms for media indexing and retrieval
  • Collaborate with interdisciplinary teams to align machine learning solutions
  • Drive the deployment and optimization of ML models in production environments
  • Inform and advocate for building infrastructure pieces needed to scale media search systems

Requirements For Machine Learning Engineer (L5) - Studio Media Algorithms

Python
  • Extensive experience in machine learning engineering
  • Deep understanding of LLMs, VLMs, Multimodal-ML
  • Proficient in programming languages such as Python, with experience in ML frameworks like PyTorch
  • Excellent communication and collaboration skills
  • Experience with cloud-based ML deployment and large-scale data processing systems

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