Coupang

Mountain View
Total Offices: 3
70,000 Total Employees
Year Founded: 2010

Coupang Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers company equity

Offers employee discounts

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides a mobile phone discount

Offers legal assistance

Provides free snacks and drinks

Offers travel concierge services

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Recently posted jobs

2 Days AgoSaved
In-Office
Mountain View, CA, USA
eCommerce
Develop and deploy large-scale computer vision and machine learning models for Coupang’s search and product experiences. Responsibilities include experimentation, statistical analysis, scalable model development and serving, A/B testing, researching advanced vision techniques, presenting results to leadership, and mentoring engineers. The role requires applying deep learning, transformers, generative modeling, and other state-of-the-art approaches to user-facing products.
8 Days AgoSaved
In-Office
Mountain View, CA, USA
eCommerce
Design and build large-scale machine learning systems for search ranking, semantic retrieval, personalization, and product discovery. Develop scalable offline and real-time ML pipelines, process billions of interaction records and petabytes of logs, deploy complex models, track performance metrics, and collaborate with product, engineering, and data science teams. The role also involves mentoring engineers and applying transformers, LLMs, embeddings, vector search, and multimodal learning.
9 Days AgoSaved
In-Office
Mountain View, CA, USA
eCommerce
Build and optimize end-to-end search and discovery systems, including machine learning pipelines, serving infrastructure, and relevance solutions. Develop AI products using deep learning and large language models, improve search quality, deliver complex systems with measurable business impact, collaborate across teams, remove technical blockers, and recruit and develop engineering talent.