Netflix

Machine Learning Engineer (L4/5) - Studio Media Algorithms

Netflix

Remote
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to Netflix, where we are dedicated to revolutionizing the entertainment industry with cutting-edge technology and innovative algorithms. As a Machine Learning Engineer (L4/5) in our Studio Media Algorithms team, you will have the opportunity to work on projects that directly impact the Netflix experience for millions of users worldwide. We are seeking a highly skilled and driven individual with a passion for machine learning and a strong background in software engineering. If you are excited about pushing the boundaries of what is possible in the world of media and entertainment, then we want you to join our team.

  1. Design and develop cutting-edge machine learning models and algorithms for use in the Netflix platform.
  2. Collaborate with cross-functional teams to understand business needs and provide solutions using machine learning techniques.
  3. Implement and maintain scalable and efficient software systems for machine learning models.
  4. Stay updated with the latest advancements in machine learning and bring new ideas and techniques to improve the Netflix experience.
  5. Conduct experiments and conduct statistical analysis to evaluate the performance of machine learning models.
  6. Troubleshoot and debug issues related to machine learning models in a timely and efficient manner.
  7. Document and communicate technical concepts and solutions to both technical and non-technical stakeholders.
  8. Mentor and train junior team members on machine learning techniques and best practices.
  9. Ensure the security and privacy of user data while developing and deploying machine learning models.
  10. Continuously monitor and improve the performance of machine learning models in production.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • Strong Background In Computer Science And Mathematics: A Machine Learning Engineer At Netflix Should Have A Solid Foundation In Computer Science And Mathematics, Including Proficiency In Programming Languages Such As Python, Java, And C++, As Well As A Deep Understanding Of Algorithms, Data Structures, And Statistical Concepts.

  • Extensive Experience In Machine Learning And Data Analysis: Candidates For This Role Should Have A Strong Background In Machine Learning Techniques, Such As Supervised And Unsupervised Learning, Deep Learning, And Natural Language Processing. They Should Also Be Proficient In Data Analysis And Have Experience Working With Large Datasets.

  • Familiarity With Media And Entertainment Industry: As A Machine Learning Engineer At Netflix, It Is Essential To Have A Strong Understanding Of The Media And Entertainment Industry, Including Knowledge Of Content Distribution, User Behavior, And Streaming Technologies. This Will Help In Developing Algorithms That Can Effectively Personalize The Viewing Experience For Users.

  • Experience With Cloud Computing And Big Data Tools: Netflix Operates On A Massive Scale, With Millions Of Users Streaming Content Simultaneously. As Such, A Machine Learning Engineer Should Have Experience Working With Cloud Computing Platforms, Such As Aws Or Google Cloud, And Be Proficient In Big Data Tools, Such As Hadoop And Spark.

  • Strong Communication And Problem-Solving Skills: The Role Of A Machine Learning Engineer At Netflix Involves Collaborating With Cross-Functional Teams, Including Data Scientists, Product Managers, And Developers. Therefore, Strong Communication And Problem-Solving Skills Are Crucial To Effectively Communicate Ideas, Work Through Challenges, And Deliver High-Quality Solutions.

Required Skills
  • Data Analysis

  • Machine Learning

  • Deep Learning

  • Computer Vision

  • Data Visualization

  • Natural language processing

  • Algorithm development

  • Statistical modeling

  • Predictive analytics

  • feature engineering

  • Neural Networks

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Attention to detail

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Machine Learning Engineer (L4/5) - Studio Media Algorithms is between $120,000 - $160,000 per year. However, this can vary depending on factors such as location, experience, and the specific company or industry. Highly experienced Machine Learning Engineers at top companies can earn upwards of $200,000 per year. Additionally, bonuses and other forms of compensation may also be included in the overall salary package.

Additional Information
Netflix is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedJune 9th, 2025
Apply BeforeApril 11th, 2026
This job posting is from a verified source. 
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About Netflix

Netflix, Inc. operates as an Internet subscription service company, which provides subscription service streaming movies and TV episodes over the Internet and sending DVDs by mail. The company operates its business through the following segments: Domestic streaming, International streaming and Domestic DVD. Netflix obtains content from various studios and other content providers through fixed-fee licenses, revenue sharing agreements and direct purchases. It markets its service through various channels, including online advertising, broad-based media, such as television and radio, as well as various partnerships.

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