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Staff, Machine Learning Engineer - San Francisco, CA, United States - Coupang
Description
Team OverviewThe Recommendation team is responsible for Coupang's related product recommendation, personalized gateway, widget ranking, and product review quality.
Related product recommendation is a fast-growing area and we are continuously improving recommendation quality to help more and more customers find the best products for them.
We have also started investing in personalized Gateway, aiming to build one of the best e-commerce discovery experiences.We use the state of the art Machine Learning and Deep Learning technologies, and we continuously innovate and build highly scalable systems to support the growing business and customer engagement.
About the RoleAs a Staff Ranking Engineer for Recommendations, you will be responsible for the design, development and maintenance of the end-to-end Recommendation ecosystem.
This encompasses our online ranking system, multiple data pipeline that produces the candidates and features (offline and online) used across our different ranking logics, a serving system that produces content for most of Coupang app.
You will need to collaborate closely with the Silicon Valley team that share ownership of the system.In a controlled environment, run experiments to validate and launch any features that would improve the customer experience.
Key Responsibilities:
Own the Recommendation service, one of the most critical for Coupang to make sure we are wowing customers constantly.
Collaborate tightly with the Silicon Valley team to co-build a world class recommendation systemMine vast amount of data to gain insights from customer behavior
Develop new Machine Learning models and features to create new recommendation algorithm or improve existing algorithms
Create data jobs to generate Machine Learning features; build and train new models; run experiments to validate and launch new models
Mentor and grow engineers on the team
Qualifications:
Master degree in Computer Science, Mathematics or related science majors
5+ years experience working with large-scale, complex datasets to extract robust features and create reliable machine learning models.
Track record of diving into data to discover hidden patterns and solving problems with data science
Fast paced self-learner with proven record of launching successful features and improving business metrics
Strong communication skills.
Preferred
Qualifications:
Professional Korean proficiency
in Computer Science, Mathematics or related science majors
Industrial experience working with online serving system working at scale
Write robust and efficient code using Java with unit and integration tests
Excellent communicator with great listening skills, growth mindset and can-do attitude
전형 절차 및 안내사항
전형 절차
# 서류전형
# 1차 면접
# 2차 면접
# 처우협의
# 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
# 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.
참고 사항
# 본 공고는 모집 완료 시 조기 마감될 수 있습니다.
# 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
# 보훈대상자 및 장애인 여부는 채용 과정에서 어떠한 불이익도 미치지 않습니다.
# 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반 사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.
개인정보 처리방침
# 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다.
서류 반환 정책
# 본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다.
# 당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.
# 위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일 ) 로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.
# 당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일 간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
# 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.
Equal Opportunities for All
Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.
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