Search Ads Machine Learning Engineer

Hireio - San Jose, CA

Full-time - Mid Level

San Jose, CA

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

About the position

The Search Ads Machine Learning Engineer will play a crucial role in developing and optimizing a large-scale global search ads platform. This position focuses on leveraging advanced machine learning techniques to enhance ad systems, improve user engagement, and drive innovation in ad algorithms. The role is ideal for individuals passionate about tackling complex technical challenges in a dynamic environment.

Responsibilities

• Develop large-scale ad systems that handle billions of user interactions.
• Optimize relevance models and ranking strategies using advanced machine learning techniques, including semantic matching, multi-modal learning, and active learning.
• Drive innovation in Ads algorithms to enhance personalization and user engagement.
• Enhance NLP capabilities to improve query understanding and ad targeting.
• Work on CTR/CVR model optimization, focusing on feature engineering, data analysis, and predictive modeling.
• Research and develop ads pacing algorithms and traffic control strategies to maximize ad performance.
• Collaborate with product managers and cross-functional teams to define and refine product strategies and features.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• 5+ years of experience in one or more domains such as Search, Ads, Recommendation Systems, Monetization, or Shopping Products.
• Proficient in programming languages like Python, Go, or C/C++.
• Strong experience with Machine Learning, Deep Learning, NLP, and ranking/recommendation systems.
• Proven track record of working with Tier 1 or Tier 2 tech companies is highly preferred.