Machine Learning Scientist (L4) - Content & Conversation Modeling
Netflix Seattle, WA Full-time 3/24/2026
PhD Entry-Level
Approval 98.4%•Total filings 128•New hires 57•
💎 Strong Sponsor
•FY 2025Job Description
Netflix is seeking a senior machine learning scientist to develop and deploy scalable ML solutions that inform content strategy and performance. The role involves collaborating with content strategy and analytics teams to enhance decision-making through innovative predictive models.
Requirements
- An ability to navigate ambiguous problem spaces with a passion for translating them into practical technical solutions, including a track-record of delivering business solutions leveraging Machine Learning.
- Exceptional communication skills. Able to explain complex technical concepts clearly to cross-functional partners with differing technical backgrounds.
- Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
- A passion for scaling your ML solutions in collaboration with your team.
- Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX).
- An 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.
- Relevant experience in one or more machine learning roles.
- An appreciation of the creative and entertainment industry is definitely a plus.
Responsibilities
- Innovate on a suite of predictive models to help inform our content strategy.
- Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance.
- Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally.
- Own the end-to-end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement.
- Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams.
- Live Netflix values while bringing a new perspective to continue improving our culture.
Benefits
- Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.
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