Machine Learning Software Engineer
@ Netflix

Hybrid
$300,000
Hybrid
Full Time
Posted 10 hours ago

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XXXXXXXX XXXXXXXXX XXXXXXXX***** @netflix.com
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Job Details

About Netflix

Netflix is one of the world's leading entertainment services with 283 million memberships across 190 countries. Members enjoy TV series, films and games with flexible viewing options anytime, anywhere.

Role Overview

The Machine Learning Software Engineer will join the Algorithms team to design, develop, and scale machine learning solutions that power the Netflix experience. Collaborating with machine learning researchers, product managers, and other engineers, you will implement scalable, production-ready systems for personalization and recommendations.

Key Responsibilities

  • Drive vision, design, implementation, testing, and ownership of software components.
  • Collaborate with applied researchers and data scientists to build scalable ML systems.
  • Develop and enhance personalization systems and large-scale distributed applications.
  • Advise team on engineering best practices and mentor colleagues.
  • Enable offline experiments and A/B tests for performance measurement.

Requirements

  • A degree in Computer Science or a related field.
  • 4+ years of full-time software engineering experience with a bachelor’s degree or 2+ years with a graduate degree.
  • Excellent skills in Python and experience with Scala, Java, C++, or C#.
  • Experience with distributed computing systems and large-scale data frameworks such as Spark or Flink.
  • Solid understanding of core machine learning concepts and engineering best practices.

Preferred Qualifications

  • Experience with building or enhancing personalization systems and ML platforms.
  • Exposure to ML libraries like TensorFlow, PyTorch, JAX, or Keras.
  • Familiarity with cloud computing platforms like AWS and mathematical foundations in statistics or numerical computation.
  • Contributions to open-source projects are a plus.

Benefits & Compensation

Netflix offers an annual salary with a choice between salary and stock options along with comprehensive benefits including health plans, mental health support, 401(k), flexible time off, and more.

Key skills/competency

  • Machine Learning
  • Software Engineering
  • Python
  • Distributed Systems
  • Scalability
  • Algorithms
  • Personalization
  • Cloud Computing
  • Data Frameworks
  • Collaboration
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How to Get Hired at Netflix

🎯 Tips for Getting Hired

  • Customize Resume: Tailor your resume with ML and coding projects.
  • Research Netflix: Understand Netflix culture and technology.
  • Practice Algorithms: Brush up on coding and system design.
  • Network: Connect with current employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review Python and distributed computing libraries.
Practice system design for scalable ML systems.
Study large-scale data frameworks like Spark or Flink.
Experiment with cloud computing platforms such as AWS.

Behavioral Questions

Describe a teamwork challenge and resolution.
Explain handling project deadlines under pressure.
Share experiences mentoring junior team members.
Discuss managing cross-functional communication.

Frequently Asked Questions