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# Machine Learning Scientist (L4/5) - Content & Media ML Foundations

- **Company:** Netflix, Inc.
- **Location:** Los Gatos, CA, United States
- **Salary:** $170,000
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Deep Learning, Keras, Information Technology, Unsupervised Learning
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_6aca313e495208775a4c281e8b46fb34

## About the Role

* You have a strong foundation in machine learning and deep learning, including embedding methods, supervised and unsupervised learning, and deep learning architectures.
 * Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, or a related technical field with a focus on machine learning, artificial intelligence or computer vision.
 * Strong programming skills in Python and experience with ML/DL frameworks such as Tensorflow, Keras or PyTorch.
 * You have a strong track record of solving complex problems with innovative solutions. You are able to both develop novel algorithms and to adapt existing methods from the literature to new challenges.
 * You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
 * You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.

## Description

The Content & Media ML Foundations team, within Data Science and Engineering, is responsible for foundational R&D initiatives shaping the future of content production and promotion at a global scale. Using rich multi-modal data (text, video, audio, images), we build ML models and capabilities (such as customized generative algorithms and multi-modal embeddings enabling unique content understanding), that are high leverage and unlock impact across Netflix., * Build ML models that push state-of-the-art either using Netflix's unique multimodal dataset or algorithmic innovations or both.

 * Design and implement state-of-the-art machine learning models for visual, audio and textual data to enhance content understanding and improve content production and promotion processes.
 * Collaborate with cross-functional teams, including product managers, engineers and data scientists, to define problem statements, define roadmaps and execute on priorities.
 * Communicate complex concepts and the results of analyses with both technical and non-technical stakeholders to influence strategic decisions.
 * Stay abreast of the latest developments in the field by attending conferences, reading research papers and implementing promising novel ideas that can impact Studio workflows.
 * Engage with the ML community, internal and external, to learn, to teach, to contribute to building a great Netflix brand in ML.