Machine Learning Scientist 4 - Content & Conversation Modeling
$300,000–$537,000 year
Remote · United States or Seattle, Washington, United States
Job Summary
Senior Machine Learning Scientist at Netflix to develop, optimize, and deploy scalable ML solutions powering content decisions. Lead end-to-end ML lifecycle from ideation and feature engineering to model training, evaluation, deployment, and monitoring. Collaborate with analytics, data engineering, and ML Ops teams to influence data infrastructure and production deployments. Requires strong Python and ML framework expertise and an advanced degree in a technical field. Compensation ranges from $300,000 to $537,000 annually, with salary vs stock-based flexibility and comprehensive benefits; roles available in Seattle, WA; Los Gatos, CA; or remote within the United States.
Required Qualifications
- Advanced degree (MS or PhD) in Computer Science, Economics, Physics, Statistics, Mathematics, or a related technical field with a focus on machine learning and predictive modeling
- Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX)
- Relevant experience in one or more machine learning roles
- Ability to navigate ambiguous problem spaces and translate into practical technical solutions
- Exceptional communication skills
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