Software Developer for Personalization Systems
3 weeks ago
At Netflix, we are continuously pushing the boundaries of personalization and algorithmic innovation to provide our members with the best possible experience.
We are seeking a highly skilled Machine Learning Engineer to join our Algorithms team. This role involves designing, developing, and scaling solutions that power the Netflix experience.
- Collaborate with cross-functional teams to develop and implement machine learning algorithms that improve personalization and member experiences.
- Create scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment in Netflix's large-scale systems.
- Optimize the performance and scalability of machine learning models, ensuring they can handle the diverse tastes and behaviors of our global member base.
Salary: $100,000 - $720,000 per year
Key Responsibilities:
- Cross-functional collaboration with researchers, engineers, data scientists, and product managers to develop and implement machine learning algorithms.
- Design and development of scalable, production-ready ML solutions.
- Model optimization and performance improvement.
Requirements:
- 5+ years of experience in applying machine learning in an industrial setting.
- PhD or Masters in Computer Science, Statistics, or a related field.
- Expertise in machine learning algorithms and frameworks.
Preferred Qualifications:
- Experience building or enhancing personalization systems, search engines, or similar large-scale machine learning applications.
- Background in neural networks, natural language processing, or causal inference.
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