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Senior Staff ML Infra Engineer
2 months ago
As our Senior Staff ML Infra Software Engineer for the Search & Discovery organization, you will be in charge of designing and implementing durable & efficient platform solutions that handle massive volumes of structured and unstructured data for our machine learning efforts.
The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week more than 20 million customers use search in our app or on , 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 a solid infra foundation 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. There are so many things to analyze, to design, and to build. If you are passionate about big data engineering and machine learning technology, you want to make real business impact, and you are a true problem solver, this is the right job for you.
Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines
Drive design and implementation of durable & efficient platform solutions that serve ML model with low latency
Develop and scale infrastructure that powers multiple ML experiments running in parallel with monitoring and debugging capabilities.
Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand & deliver training and serving 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
BS or MS degree in Computer Science or related field, or equivalent practical experience
8+ years of experience
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
Software engineering fundamentals: version control systems (i.e Git, Github) and workflows, and the ability to write production-ready code
Expert experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.)
Knowledgeable of modern online serving technologies such as gRPC, ProtoBuffer, Caching, etc.
Experience deploying highly robust and scalable data pipelines processing petabytes of data
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
Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation.
The base pay for this position ranges from $159,000 / year in our lowest geographic market to $324,000 / year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
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
MTV - [Free] Electric Car Charging Station
"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.
