Staff, Machine Learning Engineer (Coupang Play)
Singapore, Singapore
Coupang
Join us to innovate. Rocket your career. Collaborate with teams across the globe. Find your role and learn more about our culture.Staff, Machine Learning Engineer (Coupang Play)
About Coupang Play
Launched in December 2020, Coupang Play is Coupang's OTT (over-the-top) service. Coupang Play aims to become the definitive destination for digital content. Backed by our strong Product and Engineering teams in Seoul, Singapore, and Mountain View — Coupang Play has been creating and optimizing the viewing experience for our customers.
Coupang Play is available on mobile devices, tablet PCs, smart TVs, and your preferred browsers. We are building a competitive content library that includes TV for children and all ages, movies, live sports, educational content, and more. Coupang Play also creates original content, catered specifically to our customers.
If you like to work backwards and solve problems for our customers, join us. We are committed to redefining how our customers enjoy digital entertainment as one of the fastest-growing OTT services in Korea.
Role Overview
Machine Learning Engineer(ML Engineer) at Coupang Play mines vast amount of data to gain insights from OTT subscriber's 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 recommendation and personalization. The goal is to help our customers discover and consume the right content for them.
What You Will Do
- Data collection: Develop data requirements and coordinate with relevant engineering and business teams to setup data collection as well as to validate data
- Modeling / Algorithm development: Develop necessary features for models using the collected data to analyze alternative models and train relevant models using scientific tools and coding
- Production testing and finalizing: Setup necessary testing requirement for the models in production, including A/B testing. Analyze the results to gather insights about the model
- Production maintenance: Maintain existing and iterate new algorithm development, testing and deployment on further improvement
Basic Qualifications
- 6+ years of experience in analyzing large data sets to drive significant business decisions
- Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, or related field e.g. Mathematics, Operations Data Research
- Strong statistical background, especially in experimentation and modeling
- Proficiency in a statistics tool, recommendation and personalization
- Strong presentation skills and ability to communicate methodologies, results clearly and concisely to team members and managers
- Lead strategic analyses to understand customer behavior and develop business success metrics
- Deep product sense, self-starter and ability to drive research projects
- Fluency in Korean
Preferred Qualifications
- Experience with streaming data in machine learning
- Experience with experimentation methodologies - post-stratification, quasi-experimental research designs, sequential testing
- Experience with AWS or other high-level data science platforms
- MS or PhD in Computer Science, Engineering, Statistics, Economics or related field e.g. Mathematics, Operations Data Research
- Experience in software engineering
- Start-up experience preferred
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing AWS Computer Science Economics Engineering Machine Learning Mathematics PhD Research Statistics Streaming Testing
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Data Manager jobs
- Open Data Quality Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs