The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, 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, LLM, Ranking, and Recommendation related projects. You will also be 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 have 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, including recall/ranking/relevance modules.
• Participate in the development and iteration of Ads models.
• Collaborate with product managers, data scientists and product strategy & operation teams to define product strategy and features.
Qualifications
Minimum Qualifications
• BS degree in Computer Science, Computer Engineering or other relevant majors.
• Excellent programming skills in C++/Golang, debugging and optimization skills in general purpose programming languages. • Ability to think critically and to formulate solutions to problems in a clear and concise way.
Preferred Qualifications
• Good knowledge in one of the following areas: large-scale distributed system, backend service, machine learning, full stack.
• Industry experience in one of the following domains: Search Infra, Ads Infra, Recommendation System, ML Infra.
• Good understanding in one of the following domains: Online Advertising System, Ads Delivery System, Search Engine.
• Good collaboration skills working with cross-functional teams.
Top Skills
What We Do
We are HireIO, the Workforce Solutions Provider who tomorrow’s tech giants count on to be connected with today’s tech genius. We help create an impact on the tech community by partnering with teams and professionals who specialize in FinTech, Cloud/SaaS, healthcare, biotech, A.I., and any emerging technologies, to grow from new opportunities and support equal opportunity