Sr. Staff ML Infra Engineer - Offline Infra & Training

The role

You will design and implement software solutions to handle massive volumes of data for training and serving complex ML models. You will build scalable offline and online ML platforms to support ranking and recommendation.

What you will do

• Drive execution of end-to-end data platform and data quality roadmap for Search & Discovery ML efforts
• Take ownership, consolidate and optimize core data logging, processing, and ML model training pipelines
• Develop and scale data infrastructure for batch and real-time data processing, monitoring, and debugging
• Drive design and implementation of scalable ML based ranking system and online ML inference services
• Build cross-functional partnerships with Data Scientists, Analysts, Product Managers, and Engineers
• Research, analyze and select technical approaches for solving development and integration problems
• Coach and mentor other engineers in process and methodologies

Required qualifications

• 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
• Experience in building production grade ML systems

Nice to have

• Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance
• 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

Benefits

• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• Paid Parental leave
• Pre-tax commuter benefits
• Free Electric Car Charging Station

About the company

Coupang is a fast-growing e-commerce company and a dominant force in South Korean commerce. It offers a startup culture with the resources of a large global public company.