Lead ML Engineer, Search & Discovery Systems

Coupang; Mountain View (CA); On-site; USD 174,000 - 299,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401K Plan with Company Match

Paid Time Off (PTO)

12 Public Holidays

Paid Parental leave

Pre-tax commuter benefits

Electric Car Charging Station (MTV)

Employee Assistance Program

Job summary

Coupang in Mountain View is seeking an experienced engineering leader for Search & Discovery to drive end-to-end, ML-powered search systems and oversee the stack from serving to pipelines and ML models. You will partner with senior leadership to identify opportunities and deliver high-impact results.

The role emphasizes building high-quality machine learning systems, aligning technical direction with business needs, and mentoring teams to achieve ambitious goals.

Qualifications

• 6+ years of industry experience in technology companies.
• Broad understanding of information retrieval, deep learning, large language modeling, data processing, and real-time serving.
• Proven track record delivering large and complex systems with business impact.

Responsibilities

• Build end-end Search & Discovery systems and help design the next-generation AI products to support the business growth
• Have strong execution with the ability to drive key developments and overcome technical blockers
• Ensure solid ML design and operational excellence
• Be metrics driven and can identify big opportunities
• Build strong collaborations with partner teams
• Recruit and develop world-class talent

Skills

Information retrieval

Deep learning

LLM / large language modeling

Data processing

Real-time serving

Job description

Coupang in Mountain View is seeking an experienced engineering leader for Search & Discovery to drive end-to-end, ML-powered search systems and oversee the stack from serving to pipelines and ML models. You will partner with senior leadership to identify opportunities and deliver high-impact results.

The role emphasizes building high-quality machine learning systems, aligning technical direction with business needs, and mentoring teams to achieve ambitious goals.