Machine Learning Engineer
2 days ago
Hireio, Inc. is constantly pushing the boundaries of general search engine monetization across our apps, building a globally leading Search Ads monetization system. As a Machine Learning Engineer, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery.
Key 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
- Partner with product managers and product strategy & operation team to define product strategy and features
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
- 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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