About Coupang Play
Coupang Play is an OTT video streaming service. We offer a wide range of content, including Original Series, TV Shows, Movies, and Sports.
We are in the business of delivering exceptional storytelling. We produce award-winning scripted and unscripted Original Series, such as “Boyhood”, “Anna”, and “SNL Korea”. We believe Sports can also be elevated by creative storytelling. Play is now an authoritative destination for Sports, broadcasting K-League, La Liga, Bundesliga, F1, NFL, and other leading leagues and tournaments. We also offer some of the latest movies that were just released in local theaters, bringing more exceptional storytelling to our customers.
To ensure that we deliver all content seamlessly, we invest in Engineering, Product, and Design. Coupang Play is available on all mobile devices, tablets, PC, Smart TV, Apple TV, and Android TV. Our teams keep optimizing how customers discover and stream both VOD and Live content. That includes investments in frontend, backend, and infrastructural developments. We also embrace Machine Learning to refine our CX.
We are still very early in our growth stage. If you enjoy solving complex problems using industry-leading technology or unconventional business approaches, please join us. We are building a world-class team of problem-solvers, all dedicated to delivering exceptional storytelling to our customers.
Role Overview
As a Staff Machine Learning (ML) Engineer at Coupang Play, you will work on our large and increasing catalog of content including streaming video on-demand titles, live events, as well as transactional video on-demand titles. You will mine large amount of playback data to gain insights from OTT subscriber behavior; create data jobs to generate machine learning features; build, train and improve new or existing models; participate in building the framework used for contents recommendations and personalization by leveraging all available data sources, machine learning tools, and other technical platforms. You will work closely with our Product and Engineering teams to build our recommendation and personalization systems.
What You Will Do
- Build next generation content recommendation and ad personalization systems for Coupang Play
- Develop data requirements and coordinate with relevant engineering and business teams to setup data collection as well as to validate data
- Develop necessary features for models using the collected data and train relevant models using scientific tools and coding
- Integrate model inference implementations into our production systems
- Setup necessary testing requirements for the models in production, including A/B testing, and analyze results to gather insights about model performance
Basic Qualifications
- Bachelor's degree in computer science,Electrical Engineering, Statistics, Mathematics, or related field
- 7+years of experience in building ML products, with at least 2 years of experience in content recommendation or ad personalization domain
- Experience building and deploying large-scale recommendation and personalization systems in production
- Proficiency in Python and at least one deep learning framework (e.g. PyTorch, Tensorflow, or Keras)
- Strong statistical background in experimentation and modeling
- Deep product sense, self-starter and ability to drive critical projects in fast-paced environment
- Excellent communication skills in English and a collaborative mindset
Preferred Qualifications
- MS or PhD in degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related field
- Excellent software engineering skills with a proven record of high quality product delivery
- Experience in training, evaluating, fine-tuning, and deploying models (e.g. LLM) in production
- Experience with AWS or other cloud system and familiarity with using GPUs
Recruitment Process and Others
Recruitment Process
- Application Review - 1st Interview - 2nd Tech Interview - Leadership interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
- Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.
- Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
https://privacy.coupang.com/en/land/jobs/
Skills Required
- Bachelor's degree in computer science, Electrical Engineering, Statistics, Mathematics, or related field
- 7+ years of experience in building ML products
- At least 2 years of experience in content recommendation or ad personalization
- Experience building and deploying large-scale recommendation systems in production
- Proficiency in Python and at least one deep learning framework
- Strong statistical background in experimentation and modeling
- Excellent communication skills in English
Coupang Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Coupang and has not been reviewed or approved by Coupang.
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Healthcare Strength — Benefits are described as robust, including medical, dental, vision, disability, life, mental health, and transgender healthcare. Some locations also offer on-site or virtual health screenings that enhance preventive care access.
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Retirement Support — Financial programs include a 401(k) with company matching and an employee stock purchase plan alongside performance bonuses. Feedback suggests these elements provide a structured foundation for long-term savings and wealth building.
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Leave & Time Off Breadth — Paid time off is described as generous with accrual increasing with tenure, complemented by company-paid holidays and parental leave. Flexible work arrangements in some roles further support time away when needed.
Coupang Insights
What We Do
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial, surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.
Why Work With Us
We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact.
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