Summary
Join the Search Ads team to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. Responsibilities include developing an Ads system, optimizing relevance models, working on NLP capabilities, improving CTR/CVR models, researching Ads pacing algorithms, and partnering with product managers.
Requirements
- Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python
- Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems
Responsibilities
- Participate in the development of a large-scale Ads system
- Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc
- Participate in the development and iteration of Ads algorithms by using Machine Learning
- Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc
- Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering
- Research and develop Ads pacing algorithms, ads traffic control, etc
Preferred Qualifications
1+ years of experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products
