
About Coupang
Delivering convenience to millions in South Korea
Key Highlights
- Publicly traded on the NYSE under the ticker CPNG
- Valuation of approximately $60 billion post-IPO
- Over 17 million active customers using the platform
- Employs 1,000-5,000 people across various roles
Coupang is a leading e-commerce platform in South Korea, founded in 2010 and headquartered in Seoul. The company serves millions of customers with its fast delivery service, Rocket Delivery, which promises same-day or next-day delivery on a wide range of products. Coupang went public in March 2021, ...
🎁 Benefits
Coupang offers competitive salaries, stock options, generous paid time off, and a flexible remote work policy to support work-life balance....
🌟 Culture
Coupang fosters a customer-centric culture, emphasizing speed and efficiency in its operations. The company values innovation and encourages employees...
Skills & Technologies
Overview
Coupang is hiring a Staff Machine Learning Engineer to develop and optimize content recommendation and personalization systems for Coupang Play. You'll work with Python and deep learning frameworks like PyTorch and TensorFlow. This role requires over 7 years of experience in ML product development.
Job Description
Who you are
You have a bachelor's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field, and you bring over 7 years of experience in machine learning product development, with at least 2 years focused on content recommendation or advertising personalization. You have a proven track record of building and deploying large-scale recommendation and personalization systems in production environments.
Your expertise in Python and proficiency in at least one deep learning framework such as PyTorch, TensorFlow, or Keras allows you to design and implement complex models effectively. You possess a high level of statistical expertise, enabling you to conduct experiments and modeling with confidence. You are self-driven and capable of leading core projects in a fast-paced environment, demonstrating strong product sense.
You are comfortable communicating in English and excel in collaborative settings, working closely with product and engineering teams to develop innovative solutions. Your ability to analyze OTT subscriber behavior data and derive actionable insights is a key asset in your role.
Desirable
A master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field would be advantageous. Experience in successfully delivering high-quality products in software engineering is a plus, as is familiarity with model training, evaluation, fine-tuning, and fairness considerations in machine learning.
What you'll do
As a Staff Machine Learning Engineer at Coupang Play, you will be responsible for building the next-generation content recommendation and advertising personalization systems. You will define data requirements and collaborate with engineering and business teams to ensure effective data collection and validation. Utilizing the collected data, you will develop features necessary for model training and employ scientific tools and coding to train models.
You will integrate model inference capabilities into production systems, setting requirements for testing in production environments, including A/B testing, and analyze results to derive performance insights. Your role will involve continuous improvement of existing models and the development of new ones, ensuring they meet the evolving needs of our users.
You will work closely with cross-functional teams to enhance the user experience on Coupang Play, leveraging various data sources and machine learning tools to create a robust content recommendation framework. Your contributions will directly impact how users discover and enjoy content on our platform.
What we offer
At Coupang, you will be part of a dynamic team that values innovation and collaboration. We provide a supportive environment where you can grow your skills and advance your career. You will have the opportunity to work with some of the best minds in the industry, tackling challenging problems and creating new value for our users.
We encourage you to apply even if your experience doesn't match every requirement. Join us in shaping the future of content consumption in South Korea and beyond.
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