Staff Machine Learning Engineer (Recommendation and Personalization) â Coupang Play
Staff Machine Learning Engineer (Recommendation and Personalization) â Coupang Play
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Job Description
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 the 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 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
- Bachelors 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 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 Tech & Coding Interview > 2nd Tech & Coding Interview > Offer
- The exact nature of the recruitment process may vary according to the specificjob andmay 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.
- Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.
- Job titles and responsibilities may be subject to change depending on the candidates overall experience etc. This will be communicated to the candidate at the appropriate time before the offer.
Privacy Notice
- Your personal information will be collected and managed by Coupang asstated in the Application Privacy Notice locatedbelow.
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Required Experience:
Staff IC
Employment Type
Full-Time
