Advanced Machine Learning Architect
6 days ago
At Netflix, we are committed to providing an exceptional entertainment experience to our global member base. To achieve this goal, we are seeking a highly skilled Senior AI Engineer for Personalization Systems to join our Algorithms team.
About the RoleIn this critical position, you will be responsible for designing, developing, and scaling machine learning algorithms that power the Netflix experience. You will work closely with cross-functional teams, including researchers, engineers, data scientists, and product managers, to develop and implement personalized recommendations that improve member engagement and retention.
Key Responsibilities:- Collaborate with researchers and engineers to design and develop cutting-edge machine learning algorithms that enhance personalization and recommendations.
- Create scalable, production-ready ML solutions that integrate seamlessly with Netflix's large-scale, real-time systems.
- Optimize the performance and scalability of machine learning models to ensure they can handle diverse tastes and behaviors of our global member base.
- Design and conduct offline experiments and A/B tests to validate the impact of algorithmic changes on key business metrics.
- 5+ years of experience in applying machine learning in an industrial setting, with a track record of delivering impactful results.
- PhD or Masters in Computer Science, Statistics, or a related field.
- Expertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, and deploying models in production environments.
- Excellent software design and development skills in Python along with Scala, Java, C++, or C#.
We offer a comprehensive compensation package, including:
- A competitive salary range: $100,000 - $720,000 per year.
- A generous stock option program.
- A 401(k) Retirement Plan with employer match.
- Comprehensive health insurance and mental health support.
Netflix is one of the world's leading entertainment services with 278 million paid memberships in over 190 countries. Our mission is to entertain the world, one member at a time. We celebrate diversity, recognize that diversity of thought and background builds stronger teams, and approach diversity and inclusion seriously and thoughtfully.
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