Staff Machine Learning Engineer, Ads Growth

What You Will do:

• Work with product team, sales team, and other stakeholders to formulate the business problems into machine learning and data analysis projects.
• 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.
• Effectively collaborate with other roles, including machine learning engineers, data scientists, economists and software developing engineers, to lead projects within or across team.
• Solve ambiguity and act as consultant in ML model related problems across team.
• Mentor the junior team members.

Basic Qualifications:

• Master or Ph.D. degree in quantitative fields, such as computer science, statistics, electrical engineering, mathematics or equivalent.
• 4+ years (for Ph.D.) or 6+ years (for other degrees) of industry experience working with large-scale, complex datasets to create and optimize machine learning models.
• Strong problem-solving skills. Track record of diving into data to discover hidden patterns and solving problems with data science, launching successful features and improving business metrics.
• Ability and experience to write robust and efficient code using Java, Python, etc for model prototypes and working with software engineers for productionizing them.
• Strong ownership and ability to lead project end to end; Good communicator, both to technical and business audiences.
• Ability to work in multicultural, cross functional team, and to deal with ambiguity in business and technology.

Preferred Qualifications:

• Ph.D. in quantitative fields is strongly preferred.
• 3+ year experience with advertising or ecommerce industry.