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Coupang

Sells goods online with its own overnight delivery

Staff Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science, Software Engineering, Machine Learning, or a related field is required.
  • At least 7 years of software engineering experience, including building and operating large-scale search, retrieval, recommendation, ranking, personalization, or other relevance-driven systems, is required.
  • Proven experience designing and building distributed backend systems with a strong focus on scalability, reliability, and low-latency performance is required.
  • Strong programming skills in Python and at least one additional language such as Go, Java, Scala, or C++ are required.
  • Experience with cloud-native infrastructure and modern software engineering practices is required.
  • Familiarity with search platforms, vector search technologies, large-scale indexing systems, or recommendation infrastructure is required.
  • A solid understanding of machine learning concepts and experience applying data-driven approaches to improve customer experiences are required.
  • Strong analytical and problem-solving skills, including the ability to evaluate system performance and drive measurable improvements, are required.
  • Experience working across engineering, product, and data science organizations is required.

Responsibilities

  • Own the architecture, development, and evolution of large-scale search, retrieval, ranking, recommendation, and personalization platforms.
  • Build content discovery solutions that help users find relevant content through search, recommendations, and personalized experiences.
  • Develop machine learning-driven systems that model user intent, content relationships, and user preferences to improve relevance and engagement.
  • Design, build, and operate scalable, low-latency online serving infrastructure for real-time retrieval, ranking, and recommendation workloads.
  • Drive continuous improvements in search and recommendation quality through experimentation, offline evaluation, and online A/B testing.
  • Define, monitor, and optimize key business and technical metrics, including relevance, engagement, conversion, latency, and system reliability.
  • Partner with ML Scientists, Product Managers, and cross-functional engineering teams to translate business objectives into scalable technical solutions.
  • Evaluate and adopt emerging technologies, algorithms, and industry best practices to advance content discovery capabilities.

Desired Qualifications

  • Experience with modern retrieval and ranking techniques, including lexical retrieval, semantic retrieval, embedding-based retrieval, hybrid retrieval, and learning-to-rank approaches.
  • A strong understanding of information retrieval, recommendation systems, ranking systems, personalization, or other content discovery domains.
  • Experience applying deep learning, foundation models, large language models, or generative AI technologies to search, recommendation, or content discovery problems.
  • Experience with experimentation platforms, online evaluation methodologies, A/B testing, and relevance measurement frameworks.
  • Experience building or supporting multilingual content discovery experiences.
  • A master's degree or Ph.D. in Computer Science, Machine Learning, Information Retrieval, or a related field.

About the Company

Coupang

Sells goods online with its own overnight delivery

Coupang runs one of South Korea's largest online stores, selling groceries, electronics, household goods and fashion to consumers and small businesses. Rather than relying on outside carriers, it delivers most orders through its own warehouses and drivers, and its Rocket Delivery service brings millions of items to doorsteps overnight or the same day. Shoppers order through the Coupang app or website, and the company earns money from its own retail sales, commissions and fulfillment fees from outside sellers, and a paid membership. Coupang was founded in Seoul in 2010 and is headquartered in Seattle, with most of its operations and staff in South Korea.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
2010

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