Senior Machine Learning Engineer

Hireio - San Jose, CA

Full-time - Senior

San Jose, CA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Machine Learning Engineer will be part of the Brand Ads Team, responsible for building technologies that enhance business growth through various ad products. This role involves working on the end-to-end ads delivery tech stack, focusing on high-performance systems that utilize machine learning for forecasting, ranking, and content understanding. The engineer will collaborate with global teams in a dynamic environment to create innovative solutions that drive engagement and revenue.

Responsibilities

• Build forecasting models to allow advertisers to more efficiently spend ad budgets.
• 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 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.

Requirements

• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
• Ability to think critically and to formulate solutions to problems in a clear and concise way.
• Good understanding in 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 in forecasting, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.

Nice-to-haves

• BS degree in Computer Science, Computer Engineering or other relevant majors, with 5+ years of related work experience.
• Relevant professional experience with machine learning, data mining, data analysis, distribution system.
• Good product sense and experience designing and implementing product features.