Staff ML Infra Engineer, Search & Discovery

Coupang•Mountain View, CA

12h•$174,000 - $299,000

About The Position

As our Staff Software Engineer, ML Infra Engineer for Search & Discovery organization, you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data needed to train complex ML models and efficiently serve them online. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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