• Create innovative monetization products that drive engagement and revenue.

• Participate in the development of a large-scale Ads system.

• Participate in the development and iteration of Ads algorithms by using Machine Learning

• Work on NLP and CV-related technology for content understanding and taxonomy.

• Contribute to the success of a rapidly growing and evolving organization with speediness and quality.

Qualifications:

• BS degree in Computer Science, Computer Engineering, or other relevant majors, with 3+ years of related work experience

• Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages including but not limited to: Go, C/C++, and Python.

• Ability to think critically and formulate solutions to problems in a clear and concise way.

• Relevant professional experience with machine learning, data mining, data analysis, and distribution systems • Good understanding of one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.

• Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack

• Good product sense and experience designing and implementing product features.

SKILLS AND CERTIFICATIONS:

Go

C/C++

Python

Machine Learning

Deep Learning

NLP