Coupang - Mountain View, CA

posted 4 months ago

Full-time - Mid Level
Mountain View, CA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

At Coupang, we are on a mission to revolutionize the e-commerce landscape, and as a Staff Machine Learning Infra Engineer, you will play a pivotal role in this journey. This position is situated within the Search & Discovery organization, where your primary responsibility will be to design and implement robust software solutions that efficiently manage vast amounts of structured and unstructured data. This data is crucial for training complex machine learning models and serving them in real-time to enhance our customers' shopping experience. Every week, over 20 million customers utilize the search functionality on our platform, and a significant portion of our sales is directly linked to the effectiveness of our search and recommendation systems. Your work will directly impact how customers navigate our offerings and make purchasing decisions. You will be tasked with building scalable offline and online machine learning platforms that support ranking and recommendation systems, as well as business decision-making processes. In this role, you will handle billions of records of user interaction data and petabytes of raw log files, transforming them into accessible data objects for engineers and data scientists. Your contributions will ensure that complex machine learning models are served efficiently, helping millions of Coupang customers discover products seamlessly. If you are passionate about big data engineering and scalable serving systems, and if you thrive on solving real business challenges, this is the perfect opportunity for you.

Responsibilities

  • Proactively drive the execution of end-to-end data platform and 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 systems 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 offline and online needs and deliver on those needs.
  • Research, analyze, and select technical approaches for solving difficult and challenging development and integration problems, and coach and mentor other engineers in processes and methodologies.

Requirements

  • BS or MS degree in Computer Science or related field, or equivalent practical experience.
  • 5+ years of experience in software engineering or related fields.
  • Strong understanding of computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance.
  • Experience with Big Data tools and ETL frameworks such as Hadoop, Hive, Presto, Spark, Scala, and Apache Airflow.
  • Proficiency in machine learning frameworks such as TensorFlow and PyTorch.
  • Experience deploying highly robust and scalable data pipelines processing petabytes of data.
  • Experience managing mission-critical services with high throughput and low latency.
  • Familiarity with integrating applications and platforms with cloud technologies (AWS and GCP).
  • Strong verbal and written communication skills, with the ability to explain complex concepts to non-technical users.

Nice-to-haves

  • Experience with machine learning platforms specifically for search and 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)
  • 401K Plan with Company Match
  • 18-21 days of Paid Time Off (PTO) a year based on tenure
  • 12 Public Holidays
  • Paid Parental leave
  • Pre-tax commuter benefits
  • Free Electric Car Charging Station
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