Netflix

Manager, Machine Learning - Media Planning, DSE

Netflix

Remote
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you passionate about using data and cutting-edge technology to drive strategic decisions? Do you have a strong background in machine learning and a keen eye for media planning? If so, we have the perfect opportunity for you. Join our team at Netflix as a Manager of Machine Learning, specializing in media planning for our Digital Streaming Experience (DSE). In this role, you will have the chance to work with a talented and innovative team, while utilizing your expertise to shape the future of streaming media. To be successful in this role, we are seeking a highly skilled individual with a proven track record of driving results through machine learning and media planning. If you're ready to take on this exciting challenge, we want to hear from you!

  1. Develop and implement machine learning strategies to optimize media planning for the Digital Streaming Experience (DSE) at Netflix.
  2. Lead a team of data scientists and analysts to execute machine learning projects and initiatives.
  3. Collaborate with cross-functional teams, including product, marketing, and content, to understand business needs and develop data-driven solutions.
  4. Utilize cutting-edge technology and tools to analyze and interpret large datasets to inform media planning decisions.
  5. Stay updated on industry trends and advancements in machine learning to constantly improve and innovate our processes.
  6. Communicate complex data and insights to non-technical stakeholders in a clear and concise manner.
  7. Develop and maintain relationships with external partners and vendors to enhance our machine learning capabilities.
  8. Mentor and guide junior team members in machine learning techniques and best practices.
  9. Identify and assess potential risks and issues related to machine learning projects and provide proactive solutions.
  10. Collaborate with HR to identify and recruit top talent for the machine learning team.
  11. Establish goals and KPIs for the machine learning team and ensure they are met.
  12. Continuously track and report on the effectiveness of machine learning initiatives to key stakeholders.
  13. Foster a culture of innovation and continuous learning within the team.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • Strong Background In Machine Learning And Data Science: A Manager, Machine Learning - Media Planning, Dse Must Have A Deep Understanding Of Machine Learning Techniques And Algorithms, As Well As Experience With Data Science Tools And Technologies. This Will Enable Them To Effectively Lead And Guide The Team In Developing And Implementing Cutting-Edge Machine Learning Solutions For Media Planning At Netflix.

  • Experience In Media Planning And Advertising: The Ideal Candidate Should Have A Strong Background In Media Planning And Advertising, With A Deep Understanding Of The Industry And Its Trends. This Will Allow Them To Effectively Apply Machine Learning To Optimize Media Planning Strategies And Drive Business Results For Netflix.

  • Leadership And Managerial Skills: As A Manager, This Individual Will Be Responsible For Leading And Managing A Team Of Data Scientists And Engineers. They Should Have Excellent Leadership And Managerial Skills To Foster A Collaborative And High-Performing Team Culture, As Well As The Ability To Effectively Communicate And Delegate Responsibilities.

  • Analytical And Problem-Solving Skills: A Manager, Machine Learning - Media Planning, Dse Should Possess Strong Analytical And Problem-Solving Skills To Identify Key Business Challenges And Develop Data-Driven Solutions. They Should Also Be Able To Effectively Communicate Complex Technical Concepts To Non-Technical Stakeholders To Drive Decision Making.

  • Knowledge Of Big Data Technologies: Netflix Deals With A Vast Amount Of Data, And The Ideal Candidate Should Have Experience With Big Data Technologies Such As Hadoop, Spark, And Sql Databases. This Will Enable Them To Effectively Manage And Analyze Large Datasets To Derive Insights And Make Data-Driven Decisions For Media Planning At Netflix.

Required Skills
  • Strategic Planning

  • Project Management

  • Data Analysis

  • Team Management

  • Budget management

  • Machine Learning

  • Media planning

  • performance tracking

  • Cross-Functional Collaboration

  • Stakeholder

  • Dse (Data Science Engineering)

Soft Skills
  • Communication

  • Conflict Resolution

  • Customer Service

  • Emotional Intelligence

  • Leadership

  • Time management

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Manager, Machine Learning - Media Planning, DSE is $100,000-$150,000 per year. However, this can vary depending on factors such as location, experience, and company size. Some companies may offer higher salaries for this position, while others may offer lower salaries. It is best to research specific job postings and companies to get a more accurate salary range.

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 PostedFebruary 27th, 2026
Apply BeforeJune 9th, 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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