Machine Learning Engineer @ Netflix
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Job Details
Overview
Netflix, a leading entertainment service with 283 million paid memberships in over 190 countries, is seeking a passionate Machine Learning Engineer in our Algorithms Engineering group. Based on your background and expertise, you will be routed to the appropriate team.
Key Responsibilities
- Collaborate with cross-functional teams of researchers, engineers, data scientists, and product managers.
- Develop and implement machine learning algorithms for personalization and recommendations.
- Create scalable, production-ready ML solutions for real-time systems.
- Optimize model performance and scalability for diverse global user tastes.
- Design and conduct offline experiments and A/B tests to validate impact.
- Enhance ML infrastructure and tooling with industry best practices.
- Engage in continuous learning to stay current in ML and engineering advances.
What We Are Looking For
- 5+ years of industrial machine learning experience.
- PhD or Masters in Computer Science, Statistics, or related field.
- Expertise in ML algorithms and production deployment.
- Proficiency in Python; experience with Scala, Java, C++, or C#.
- Experience in recommendations, personalization, bandits, transformers, and RLHF.
- Strong written and verbal communication skills.
Preferred Qualifications
- Experience with large-scale ML applications like search engines or personalization systems.
- Background in neural networks, NLP, or causal inference.
- Open-source contributions in machine learning or related fields.
- Experience working in cross-functional teams.
Compensation & Benefits
The compensation structure is solely annual salary with a flexible blend of salary and stock options. Comprehensive benefits include health plans, mental health support, 401(k) with employer match, stock options, disability programs, and generous paid time off.
Inclusivity & Equal Opportunity
Netflix values inclusion and celebrates diversity. We strive to host a meaningful interview experience for all candidates and welcome requests for accommodations during the hiring process.
Key skills/competency
Machine Learning, Algorithms, Personalization, Scalability, Python, Production Deployment, Cross-functional, A/B Testing, ML Infrastructure, Communication
How to Get Hired at Netflix
🎯 Tips for Getting Hired
- Research Netflix's culture: Study their mission, values, and recent achievements.
- Tailor your resume: Highlight ML deployment and scalable systems experience.
- Network on LinkedIn: Connect with current engineers and recruiters.
- Prepare technically: Review ML algorithms, experiments, and A/B tests.