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# Sr. Staff ML Infra Engineer - Offline Infra & Training

- **Company:** Coupang, Inc.
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $174,000.0 - $299,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Application Integration Architecture, Big Data, Cloud Computing, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Software Debugging, Apache Hadoop, Apache Hive, Human-Computer Interaction, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Scala (Programming Language), Data Logging, Pytorch, Apache Spark, Deep Learning, Indexer, Core Data, Information Technology, Low Latency, Data Management, Machine Learning Operations, Data Objects, Presto, Stream Processing, Software Performance, Data Pipelines
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=af9ab56e4536c738

## About the Role

* Bachelor's degree in computer science, electrical engineering, mathematics, statistics or
closely related fields

 * 5 years of professional experience in applied machine learning
 * Experience in machine learning, deep learning, and statistical modeling
 * Proficiency in Python and/or Java, with experience in building production grade ML
systems, * Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)

 * Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.)
 * Experience with ML frameworks such as Tensorflow and Pytorch
 * Experience with deploying highly robust and scalable data pipelines processing petabytes of data
 * Experience in managing mission critical services with high throughput and low latency
 * Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP)
 * Strong verbal and written communication skills
 * Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users
 * Experience with machine learning platform for search & discovery related rankings is a strong plus

## Description

The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation.
This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. You will also be responsible for serving complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you.
What You Will Do

 * Proactively drive the execution of end-to-end data platform, data quality roadmap for Search & Discovery ML efforts
 * Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines
 * Develop and scale data infrastructure that powers batch and real-time data processing, monitoring, and debugging for ML experiments
 * Drive design and implementation of scalable ML based ranking system and online ML inference services
 * Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand both the offline and online needs and deliver on those needs
 * Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies, "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.
Recruitment Process and Others
Recruitment Process

 * Application Review - Phone Interview - Onsite (or Virtual Onsite) 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