Data-Driven Search Ads Specialist
2 weeks ago
The Search Ads team at Hireio, Inc. is dedicated to pushing the boundaries of general search engine monetization across our apps, building a globally leading Search Ads monetization system. Salary: $120,000 - $180,000 per year, depending on location and experience.
We are looking for talented individuals who share our passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.
Job DescriptionAbout Us
Hireio, Inc. is a leading company in the field of search engine monetization. Our team is constantly innovating and optimizing our Ad format, creative display, and the ROI of ads delivery.
Your Role
- 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
- Partner with product managers and product strategy & operation team to define product strategy and features
Minimum Qualifications
- 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
- Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environment
Preferred Qualifications
- 1+ years of experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products
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