(Senior) Machine Learning Engineer, Ads Ranking

Job Description

• Develop Ads Ranking core systems and algorithms to generate relevant ads that drive the growth of a profitable ads ecosystem (e.g., ads targeting, ranking, auction, strategy, model serving reliability, etc.). • Build highly scalable machine learning/deep learning systems and models to improve ads ranking quality. Relevant model types include, but are not limited to, user click-through rate (CTR), user conversion rate (CVR), prediction models, and user targeting models. • Collaborate closely with cross-functional teams, such as product managers and product specialists, to enhance the efficiency of ads auction and bidding strategies by releasing new algorithms. • Work closely with backend engineers to develop a scalable ads ranking and delivery system.

Qualifications

• BS degree or higher in Computer Science, Computer Engineering, Science (Physics or Mathematics), or other relevant majors. • 3+ years of experience in prediction, optimization, or other relevant systems for online web services (e.g., online advertisement, content recommendation, etc.). • Proven experience in driving business impact through machine learning, deep learning, or mathematical optimization (e.g., achieving increased revenue or user volume). • Familiarity with the architecture and implementation mechanisms of at least one mainstream machine learning programming framework (TensorFlow, PyTorch, MXNet, etc.). • Proficiency in business-level English.

Benefits

• 401(k) with employer matching • Up to 100% medical, dental, and vision insurance for you and your family • A benefits plan with monthly allowances • Complimentary lunch, snacks, and beverages in the office