Staff ML Engineer, Search & Discovery Relevance

Bzpp; United States; On-site; USD 174,000 - 299,000; Full time

Benefits offered by this job

Flexible Spending Accounts (FSA) & HSA

Long-term/Short-term Disability

Employee Assistance Program (EAP)

401K Plan with Company Match

18-21 days PTO per year

12 public holidays

Paid Parental leave

EV charging station

Job summary

Coupang is seeking a Staff ML Engineer for Search & Discovery Relevance to lead the development of scalable search infrastructure, ML models, and large language modeling initiatives. You will collaborate with senior leaders to align technical direction with business goals and drive innovations across the stack.

Responsibilities include delivering high-quality ML systems, ensuring operational excellence, and mentoring engineers while partnering with cross-functional teams to improve search

Qualifications

• 6+ years of industry experience in technology companies.
• Broad and deep understanding of information retrieval, deep learning, LLMs, data processing, real-time serving.
• Track record of delivering large and complex systems with big business impact.
• Strong design and problem-solving skills.
• Excellent communications and cross-functional collaboration.

Responsibilities

• Build end-to-end Search & Discovery systems and help design the next-generation AI products to support business growth.
• Drive key developments, overcome technical blockers, and maintain momentum across teams.
• Ensure solid ML design and operational excellence.
• Be metrics driven and identify opportunities for impact.
• Build strong collaborations with partner teams.
• Recruit and develop world-class talent.

Skills

Information retrieval

Deep learning

Large language modeling

Data processing

Real-time serving

Job description

Coupang is seeking a Staff ML Engineer for Search & Discovery Relevance to lead the development of scalable search infrastructure, ML models, and large language modeling initiatives. You will collaborate with senior leaders to align technical direction with business goals and drive innovations across the stack.

Responsibilities include delivering high-quality ML systems, ensuring operational excellence, and mentoring engineers while partnering with cross-functional teams to improve search