Staff Machine Learning Engineer – Content Recommendation

About the role

The Staff Machine Learning Engineer will focus on building and improving recommendation and ad personalization systems for Coupang Play, an OTT video streaming service. You will work with large volumes of playback data to extract insights, create features, and develop models that enhance content discovery for millions of users.

Key responsibilities

• Build next‑generation content recommendation and ad personalization systems for Coupang Play.
• Define data requirements, coordinate data collection with engineering and business teams, and validate data quality.
• Develop features from collected data and train models using scientific tools and code.
• Integrate model inference into production systems and ensure reliable deployment.
• Set up testing frameworks, including A/B tests, and analyze results to improve model performance.

Required profile

• Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field.
• 7+ years of experience building machine‑learning products, with at least 2 years in content recommendation or ad personalization.
• Proven experience designing, building, and deploying large‑scale recommendation and personalization systems in production.
• Strong statistical background in experimentation and modeling.
• Excellent communication skills in English and a collaborative mindset.

Required skills

• Python programming.
• Deep‑learning frameworks such as PyTorch, TensorFlow, or Keras.
• Experience with AWS cloud services.
• GPU computing for model training and inference.