About Coupang
Delivering convenience to millions in South Korea
Key Highlights
- Publicly traded on the NYSE under the ticker CPNG
- Valuation of approximately $60 billion post-IPO
- Over 17 million active customers using the platform
- Employs 1,000-5,000 people across various roles
Coupang is a leading e-commerce platform in South Korea, founded in 2010 and headquartered in Seoul. The company serves millions of customers with its fast delivery service, Rocket Delivery, which promises same-day or next-day delivery on a wide range of products. Coupang went public in March 2021, ...
🎁 Benefits
Coupang offers competitive salaries, stock options, generous paid time off, and a flexible remote work policy to support work-life balance....
🌟 Culture
Coupang fosters a customer-centric culture, emphasizing speed and efficiency in its operations. The company values innovation and encourages employees...
Machine Learning Engineer • Senior
Skills & Technologies
Overview
Coupang is hiring a Senior Staff ML Infra Engineer for their Search & Discovery team to design and implement software solutions for handling large volumes of data for machine learning models. You'll work with technologies like Python, TensorFlow, and AWS in Mountain View.
Job Description
Who you are
You have 5+ years of experience in machine learning infrastructure engineering, with a strong background in designing and implementing scalable systems that handle both structured and unstructured data. Your expertise in Python and machine learning frameworks like TensorFlow allows you to build robust solutions that efficiently serve complex models online.
You are familiar with cloud platforms such as AWS and have experience deploying machine learning models in production environments. Your knowledge of Kubernetes enables you to manage containerized applications effectively, ensuring high availability and performance.
You possess strong data engineering skills, allowing you to create data pipelines that support the training and serving of machine learning models. You understand the importance of data quality and have experience with data preprocessing techniques to ensure optimal model performance.
You are a collaborative team player who enjoys working with cross-functional teams, including data scientists and software engineers, to drive innovative solutions. Your problem-solving skills and ability to communicate complex technical concepts make you an asset in any project.
Desirable
Experience with additional machine learning libraries such as PyTorch or Scikit-Learn is a plus. Familiarity with big data technologies like Apache Spark or Hadoop can enhance your contributions to the team.
What you'll do
As a Senior Staff ML Infra Engineer at Coupang, you will lead the design and implementation of software solutions that support the Search & Discovery organization. Your role will involve architecting systems that can efficiently process massive volumes of data, enabling the training of complex machine learning models.
You will collaborate closely with data scientists to understand their requirements and translate them into scalable infrastructure solutions. Your work will ensure that machine learning models are served efficiently and can handle real-time data processing needs.
You will also be responsible for optimizing existing systems and identifying areas for improvement. This includes monitoring system performance, troubleshooting issues, and implementing best practices for machine learning deployment.
In addition to technical responsibilities, you will mentor junior engineers, sharing your knowledge and expertise to help them grow in their roles. You will play a key role in fostering a culture of innovation and continuous improvement within the team.
What we offer
Coupang provides a dynamic work environment where you can make a significant impact on the future of commerce. You will have the opportunity to work on cutting-edge technologies and contribute to projects that directly affect millions of customers. We offer competitive compensation and benefits, along with a culture that encourages professional growth and development.
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