The company is looking to boost its ads business and improve advertisers' experience through machine learning models and data analysis.
Requirements
- Master or Ph.D. degree in quantitative fields, such as computer science, statistics, electrical engineering, mathematics or equivalent
- 5+ years (for Ph.D.) or 8+ years (for other degrees) of industry experience working with large-scale, complex datasets to create and optimize machine learning models
- Ability and experience to write robust and efficient code using Java, Python, etc for model prototypes and working with software engineers for productionizing them
- Ph.D. in quantitative fields is strongly preferred
- 3+ year experience with advertising or ecommerce industry
Responsibilities
- Design features and build large-scale machine learning models and systems
- Perform statistical analyses to improve advertiser benefit and our ads revenue
- Find new opportunities to expand our ads business to new customers/products with data and machine learning model supports
- Solve ambiguity and act as consultant in ML model related problems across team
- Mentor the junior team members
- Work with product team, sales team, and other stakeholders to formulate the business problems into machine learning and data analysis projects
- Effectively collaborate with other roles, including machine learning engineers, data scientists, economists and software developing engineers, to lead projects within or across team
Other
- Ability to work in multicultural, cross functional team, and to deal with ambiguity in business and technology
- Good communicator, both to technical and business audiences
- Strong ownership and ability to lead project end to end
- Master or Ph.D. degree in quantitative fields, such as computer science, statistics, electrical engineering, mathematics or equivalent
