Brand Ads 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 play a pivotal role in the Brand Ads team of a leading social media company, focusing on developing advanced machine learning models to enhance brand awareness, engagement, and revenue generation. This position involves working on high-impact projects related to ad forecasting, bidding algorithms, and content understanding, contributing to the evolution of the company's advertising technology stack.

Responsibilities

• Lead the development of advanced forecasting models that enable advertisers to optimize ad spend and maximize ROI.
• Build innovative monetization products that enhance user engagement and boost revenue generation for brands.
• Work on scalable, high-performance ads systems, focusing on ads bidding, ranking, and content delivery.
• Collaborate on building ML-powered algorithms for ad personalization, recommendation systems, and ranking mechanisms.
• Leverage NLP and Computer Vision (CV) technologies to enhance content understanding and improve ad targeting.
• Contribute to the continuous evolution of TikTok's ad tech stack, driving system reliability, scalability, and performance in a globally distributed environment.
• Partner closely with global engineering and product teams to drive impactful solutions at scale.

Requirements

• Strong proficiency in programming languages like Go, C/C++, Python (or other general-purpose languages).
• Proven ability to solve problems in a structured and efficient manner, with a critical thinking approach to system design.
• Experience with ads technologies (brand ads, auction systems, bidding, ranking, and forecasting) or similar domains.
• Hands-on experience with Machine Learning, including but not limited to forecasting, Deep Learning, NLP, ranking systems, or recommendation systems.
• Background in working with large-scale systems, data science, or backend engineering.
• A proven track record of contributing to and maintaining high-availability, high-performance systems.

Nice-to-haves

• BS/MS in Computer Science, Computer Engineering, or a related field, with 5+ years of relevant experience.
• Extensive experience with machine learning frameworks and techniques, including data mining, deep learning, and data analysis.
• Strong sense of product design, with experience translating business needs into technical solutions and implementing successful features.
• Familiarity with cloud technologies (AWS, GCP, etc.) and distributed systems is a plus.