Senior Machine Learning Engineer - Search Ads

Hireio - San Jose, CA

Full-time - Senior

San Jose, CA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Machine Learning Engineer for Search Ads will play a crucial role in developing and optimizing large-scale ad systems. This position focuses on enhancing the relevance of ads through advanced machine learning techniques, particularly in natural language processing and ranking strategies. The engineer will collaborate with product managers to define product strategies and features, contributing to the overall innovation and effectiveness of the Search Ads product.

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 using Machine Learning
• Work on NLP capability improvement and query understanding, including query classification, seq2seq, NER, knowledge graph, bidword optimization, etc
• Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering
• Research and develop Ads pacing algorithms and ads traffic control
• Partner with product managers and product strategy & operation team to define product strategy and features

Requirements

• BS degree in Computer Science, Computer Engineering or other relevant majors
• Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python
• 5+ years of experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products
• Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems
• Ability to think critically and formulate solutions to problems in a clear and concise way
• Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment