Sirius XM Radio

Senior ML Scientist, Streaming Fraud and Content Understanding

Sirius XM Radio

Remote
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Join our dynamic team at Sirius XM Radio as a Senior ML Scientist, Streaming Fraud and Content Understanding. We are seeking an experienced and highly skilled individual to lead our efforts in developing cutting-edge machine learning algorithms to detect and prevent fraud in our streaming services, as well as improve our understanding of user content preferences. As a member of our team, you will have the opportunity to make a significant impact on our company's success by utilizing your expertise in machine learning and data analysis. If you are a passionate and driven individual with a strong background in machine learning and a desire to tackle complex challenges in the media industry, we encourage you to apply.

  1. Lead the development and implementation of advanced machine learning algorithms to detect and prevent fraud in our streaming services.
  2. Utilize data analysis and modeling techniques to improve our understanding of user content preferences.
  3. Collaborate with cross-functional teams to identify areas for improvement and develop solutions to optimize our streaming services.
  4. Stay updated on industry trends and advancements in machine learning to continuously improve our fraud detection and content understanding capabilities.
  5. Provide technical guidance and mentorship to junior team members.
  6. Analyze and interpret large datasets to identify patterns and insights that can be used to enhance our machine learning models.
  7. Communicate complex technical concepts and solutions to non-technical stakeholders.
  8. Collaborate with data engineers to ensure seamless integration of machine learning models into our streaming services.
  9. Monitor and evaluate the effectiveness of our machine learning models and make necessary adjustments to improve performance.
  10. Develop and maintain documentation for all machine learning processes and models.
  11. Drive innovation and contribute to the development of new machine learning techniques and methodologies.
  12. Conduct regular training and knowledge sharing sessions to promote the understanding and adoption of machine learning techniques within the team.
  13. Act as a subject matter expert on machine learning and provide recommendations for strategic business decisions.
  14. Work closely with product and project managers to define project requirements and timelines.
  15. Continuously assess and improve the performance and efficiency of our machine learning processes.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • In-Depth Knowledge Of Machine Learning Algorithms: A Senior Ml Scientist Should Possess A Strong Understanding Of Various Machine Learning Algorithms Such As Decision Trees, Random Forest, And Neural Networks. They Should Also Have Experience In Applying These Algorithms To Real-World Problems, Particularly In The Field Of Streaming Fraud And Content Understanding.

  • Expertise In Data Analysis And Visualization: A Strong Background In Data Analysis And Visualization Is Crucial For A Senior Ml Scientist. They Should Be Proficient In Tools Like Python, R, And Sql, And Have Experience In Analyzing Large Datasets And Presenting Insights To Stakeholders.

  • Experience In Streaming Fraud Detection: Sirius Xm Radio Is Looking For A Senior Ml Scientist With Experience In Detecting And Preventing Streaming Fraud. Candidates Should Have A Thorough Understanding Of Common Fraud Techniques And The Ability To Develop And Implement Fraud Detection Algorithms.

  • Knowledge Of Content Understanding: Sirius Xm Radio Is Seeking A Senior Ml Scientist With Expertise In Content Understanding. This Includes Experience In Natural Language Processing, Computer Vision, And Audio Analysis. The Ideal Candidate Should Be Able To Develop Algorithms That Can Accurately Classify And Recommend Content To Users.

  • Strong Communication And Teamwork Skills: As A Senior Ml Scientist, The Ability To Work Collaboratively With Cross-Functional Teams Is Essential. Candidates Should Be Able To Communicate Complex Technical Concepts To Non-Technical Stakeholders And Work Effectively With Data Engineers And Product Managers To Deliver Solutions. Strong Leadership Skills And The Ability To Mentor Junior Team Members Are Also Desirable Qualifications.

Required Skills
  • Data Analysis

  • Machine Learning

  • Deep Learning

  • Natural language processing

  • Data Mining

  • Statistical modeling

  • Predictive analytics

  • Neural Networks

  • Content understanding

  • Fraud detection

  • Streaming Technology

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Teamwork

  • Active Listening

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior ML Scientist, Streaming Fraud and Content Understanding is between $150,000 to $250,000 per year. However, this can vary depending on factors such as location, company, experience, and skills. Salaries at top tech companies such as Google, Amazon, and Facebook can be significantly higher, with some Senior ML Scientists earning over $300,000 per year.

Additional Information
Sirius XM Radio 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 PostedDecember 15th, 2025
Apply BeforeJune 9th, 2026
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About Sirius XM Radio

Sirius XM Holdings, Inc., doing business as Sirius XM Satellite Radio, is an American broadcasting company headquartered in Midtown Manhattan, New York City that provides satellite radio and online radio services operating in the United States.

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