Machine Learning Engineer
@ Netflix

Hybrid
$410,000
Hybrid
Full Time
Posted 9 hours ago

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XXXXXXXX XXXXXXXXX XXXXXXXXXX***** @netflix.com
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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.

📝 Interview Preparation Advice

Technical Preparation

Review production ML pipeline architectures.
Practice coding in Python and system design.
Study scalable model deployment strategies.
Analyze real-time data processing examples.

Behavioral Questions

Describe a challenging team conflict resolution.
Discuss cross-functional collaboration experiences.
Explain your approach to continuous learning.
Share past experiences with ambiguity in projects.

Frequently Asked Questions