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Home›Jobs›Coupang›Senior Staff Machine Learning Engineer
Coupang

About Coupang

Delivering convenience to millions in South Korea

🏢 Tech, Retail👥 1K-5K📅 Founded 2010📍 Seoul, Korea, South

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...

🌐 Website💼 LinkedIn𝕏 TwitterAll 707 jobs →
Coupang

Senior Staff Machine Learning Engineer

Coupang • Mountain View, USA

Posted 2w ago🏛️ On-SiteSeniorMachine learning engineer📍 Mountain view
Apply Now →

Skills & Technologies

PythonTensorFlowKerasAWSMachine learning

Overview

Coupang is hiring a Senior Staff Machine Learning Engineer to lead advanced machine learning initiatives in e-commerce. You'll work with Python, TensorFlow, and AWS to enhance content understanding and recommendation systems. This role requires extensive experience in machine learning applications.

Job Description

Who you are

You have 5+ years of experience in machine learning and a strong background in developing and deploying machine learning models. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build robust solutions that drive business impact. You are familiar with cloud platforms such as AWS, enabling you to leverage scalable infrastructure for your projects. You understand the intricacies of content understanding and recommendation systems, and you are passionate about applying machine learning to solve complex problems in e-commerce. You thrive in a collaborative environment, working closely with cross-functional teams to translate business needs into technical solutions. You are committed to continuous learning and staying updated with the latest advancements in machine learning technologies.

Desirable

Experience with large-scale data processing and familiarity with tools like Apache Spark or similar frameworks would be a plus. Knowledge of additional programming languages such as Java or C++ can enhance your contributions to the team. A background in e-commerce or related industries will help you understand the unique challenges and opportunities in this space.

What you'll do

As a Senior Staff Machine Learning Engineer at Coupang, you will lead the development of machine learning models that enhance our search and recommendation systems. You will collaborate with product managers and engineers to define project requirements and deliver high-quality solutions that meet customer needs. Your role will involve designing experiments to validate model performance and iterating on solutions based on data-driven insights. You will mentor junior engineers, sharing your knowledge and best practices to foster a culture of learning within the team. You will also engage with stakeholders to communicate the impact of machine learning initiatives on business outcomes, ensuring alignment with company goals. Your contributions will directly influence the customer experience, making shopping easier and more personalized.

What we offer

Coupang provides a dynamic work environment where innovation is encouraged, and your contributions are valued. You will have the opportunity to work on cutting-edge machine learning projects that have a significant impact on the e-commerce landscape. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to revolutionize the future of commerce and make a lasting impact on our customers' lives.

Interested in this role?

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