Staff ML Ranking Engineer, S&D Personalization

Coupang • Mountain View, CA

69d • $142,000 - $309,000

About The Position

As a Staff Machine Learning Engineer in Search and Discovery, you will leverage the most advanced algorithms to improve Coupang's product search and discovery quality, including query understanding, product understanding, user understanding, relevance modeling, candidate retrieval, and final stage ranking. You are expected to be a leading expert in one or multiple areas including information retrieval, recommendation systems, machine learning, deep learning or natural language processing. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects.

Requirements

• 5+ years of experience in related fields including Search, Information Retrieval, RecSys, ML, DL or NLP.
• Proficient coding skills in Java, C++ or Python.
• Problem solver, Pragmatic and Open-minded.
• Bachelors or Master Degree in Computer Science or related fields.
• Experience with handling large data volumes in a distributed environment.

Nice To Haves

• Love to explore new territory of technology and go deep on domain knowledge.
• Ability to think outside-the-box and challenge conventional wisdoms.
• A passion to explore, improve, automate and optimize distributed systems and tools.
• PhD in Computer Science or related Engineering majors.
• Bonus points for experience at ecommerce or social network or search companies.
• Bonus points for large language models and generative AI.

Responsibilities

• Root causes the bottle neck of the current search and recommendation systems and quantifies the defects.
• Propose solutions which address the search and discovery defects and leverage the state-of-the-art technologies, including ML, DL and large language model.
• Implement the solutions and conduct AB tests.
• Be a thought leader and able to gain consensus in the organization when needed.

Benefits

• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Paid Holidays
• XX weeks of Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: General Merchandise Retailers
• Education Level: Master's degree