Machine Learning Engineer, Search Ads (Vancouver)

TikTokVancouver

30+ days ago

Salary

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Job description

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us. The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers. 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

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.