회사 소개
- 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.
- We use Deep Learning-based conversion prediction model to predict the conversion rate given a query-item pair. Personalization is an important component for conversion prediction.
- We use two tower models for learning query/item embeddings and use ANN for candidate retrieval.
- We use BERT-based model to retrieve products, classify queries and extract entities from queries and products’ titles (Named Entity Recognition)
- We use neural networks to evaluate the relevance of query-item pairs and train such models with millions of human labeled datasets.
- We use graph algorithms to explore the latent relationships between queries and documents.
- 10+ 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
- Master Degree in Computer Science or related fields.
- Experience with handling large data volumes in a distributed environment
- 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
- 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 Public Holidays
- Paid Parental leave
- Pre-tax commuter benefits
- MTV - [Free] Electric Car Charging Station
Recruitment Process and Others
Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
Details to Consider
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.
Privacy Notice
- Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at [email protected].
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