3 months ago
Responsibilities
- Build next-generation content recommendation and ad personalization systems for Coupang Play.
- Define data requirements and coordinate data collection and validation with engineering and business teams.
- Create model features from collected playback and subscriber-behavior data and train relevant models using scientific tools and coding.
- Integrate model inference implementations into production systems.
- Set up production model testing, including A/B testing, and analyze results to understand model performance.
- Collaborate with Product and Engineering teams on recommendation and personalization systems.
Requirements
- Bachelor’s degree in computer science, electrical engineering, statistics, mathematics, or a related field.
- At least 7 years of experience building machine learning products, including at least 2 years in content recommendation or ad personalization.
- Experience building and deploying large-scale recommendation and personalization systems in production.
- Proficiency in Python and at least one deep learning framework such as PyTorch, TensorFlow, or Keras.
- Strong statistical background in experimentation and modeling.
- Preferred: MS or PhD in computer science, electrical engineering, statistics, mathematics, or a related field.
- Preferred: excellent software engineering skills with a record of high-quality product delivery.
- Preferred: experience training, evaluating, fine-tuning, and deploying models such as LLMs in production.
- Preferred: experience with AWS or other cloud systems and familiarity with GPUs.
- Strong product sense, self-direction, project ownership, English communication, and collaboration skills.
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About Coupang
Coupang is a technology and Fortune 150 company listed on the New York Stock Exchange (NYSE: CPNG) that provides retail, restaurant delivery, video streaming, and fintech services to customers around the world under brands that include Coupang, Eats, Play, Rocket Now, and Farfetch.