Research Scientist Engineer AI for Member Systems
@ Netflix

Hybrid
$600,000
Hybrid
Full Time
Posted 10 hours ago

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About Netflix

Netflix is one of the world's leading entertainment services with over 300 million paid memberships in over 190 countries. Members enjoy a wide variety of genres and languages in TV series, films, and games. They can watch anytime, anywhere, and change their plans at any time.

Role Overview

As a Research Scientist Engineer AI for Member Systems at Netflix, you will drive applied research by conceptualizing, designing, implementing, and validating innovative algorithmic solutions using state-of-the-art AI/ML techniques including LLM pretraining, fine-tuning, and robust offline experimentation.

Key Responsibilities

  • Develop production-ready machine learning models for personalization and recommendations.
  • Apply research in LLMs, deep learning, NLP, computer vision and beyond.
  • Collaborate with multi-disciplinary teams and communicate effectively.
  • Leverage strong software engineering skills with Python, TensorFlow, and PyTorch.
  • Contribute to research publications, open source projects and technical leadership.

Qualifications

Candidates should have a Ph.D. or Master’s in Computer Science or related fields with 6+ years research experience. A proven track record in AI/ML, expertise with both supervised and unsupervised learning, and solid software engineering skills are required. Experience with LLM development and production deployment is highly valued.

Additional Information

  • Compensation: Annual salary only; flexible salary vs stock options.
  • Comprehensive benefits include health, retirement, paid time off and more.
  • Netflix is an Equal Opportunity Employer committed to diversity and inclusion.

Key skills/competency

  • Machine Learning
  • Artificial Intelligence
  • LLM
  • Deep Learning
  • Python
  • TensorFlow
  • PyTorch
  • Personalization
  • Data Science
  • Software Engineering
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How to Get Hired at Netflix

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI and ML achievements.
  • Research Netflix: Understand their mission and culture.
  • Showcase technical skills: Emphasize Python, TensorFlow, PyTorch.
  • Prepare examples: Demonstrate real-world project impacts.
  • Practice interviews: Focus on technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review LLM architecture and fine-tuning techniques.
Practice Python coding and algorithm design challenges.
Study TensorFlow, PyTorch best practices and libraries.
Experiment with real-world machine learning problem datasets.

Behavioral Questions

Describe a complex project you led.
Explain a time of cross-team conflict resolution.
Tell about setting priorities under pressure.
Share how you manage continuous learning.

Frequently Asked Questions