Senior Data Science Engineer for Ad Quality and Personalization

7 days ago


Mountain View, California, United States Coupang Full time
About Coupang

Coupang is a leading e-commerce company that aims to make shopping, eating, and living easier than ever. We are committed to providing our customers with an unparalleled shopping experience, driven by our obsession to wow them.

We are a startup at heart, with the resources of a large global public company. This unique combination fuels our growth and allows us to launch new services at an unprecedented speed. Our entrepreneurial spirit is fueled by opportunities to drive new initiatives and innovations, making every day a chance to grow and make a hands-on impact.

At Coupang, we push the boundaries of what's possible to solve complex problems and break traditional tradeoffs. We strive to create an epic experience in this always-on, high-tech, and hyper-connected world.

About the Role

We are seeking a talented Senior Data Science Engineer to join our Coupang Media Group, Ads Quality team. As a key member of this team, you will be responsible for developing and designing machine learning models, optimization algorithms, and new product features for our advertising platform.

The Coupang Media Group (CMG) is responsible for providing vendors with marketing products and services, enabling them to showcase their products inside our e-commerce website. Our group focuses on advertising brands and products within our platform.

This is an exciting opportunity to build up a new development organization with strong revenue potential inside a successful company. We are building full-stack engineering teams to handle large-scale advertising problems, including real-time behavioral targeting, auctioning and bidding systems, and search-based advertising.

In this role, you will be responsible for innovating and building our new ad quality stack for our ads platform and eventually extending it into a full ad exchange, DSP, and SSP.

Key Responsibilities
  • Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement
  • Develop new techniques for automated mechanisms, e.g., automated bidding, query expansion, etc. for improving advertising platform efficiency
  • Develop new techniques for providing suggestions for advertisers to identify opportunities in the marketplace and improve their return on investments
  • Architect our machine learning platform at internet scale
  • Effectively lead projects across teams and mentor junior developers
  • Work with product and sales teams to design and implement new ad product features
Requirements and Qualifications
  • 8+ years of industry software engineering experience in machine learning, statistics, and information retrieval
  • Deep knowledge in machine learning, deep learning, and statistical modeling
  • Excellent communicator, both to technical and business audiences
  • Strong problem-solving skills
  • Self-starter and innovator who likes to solve complex problems
  • Proven track record of taking ownership and successfully delivering results
  • Ability to deal with ambiguity in business and technology
  • Ability to work in a multi-cultural, cross-functional team
  • Bachelor's degree in computer science, engineering, mathematics, physics, science, or equivalent
Preferred Qualifications
  • Experience working with AWS (Amazon Web Services)
  • Experience with advertising systems/Search advertising/Advertising Marketplace
  • Experience working in startups
Compensation and Benefits

We offer competitive compensation packages based on market location and may vary depending on job-related knowledge, skills, and experience.

The estimated salary for this position ranges from $142,000/year to $309,000/year in our lowest and highest geographic markets, respectively. Pay is based on several factors, including market location.

In addition to competitive compensation, we provide a comprehensive benefits package, including medical, dental, and vision insurance, flexible spending accounts, long-term and short-term disability, employee assistance programs, 401(k) plans with company matches, paid time off, and more.



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