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 will be prioritizing applicants who have a current right to work in Singapore and do not require company sponsorship for an employment visa.
- 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.
- This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may be either skipped, shortened or extended if necessary for business purposes.
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/