Staff Machine Learning Engineer, Ads Retrieval

Requirements

• MS or PhD in Computer Science, Statistics, or related field with a strong foundation in machine learning and information retrieval, and expertise across a range of retrieval modeling techniques.
• 6+ years of industry experience architecting, building, and scaling large-scale production recommendation or search systems, with a focus on high-performance retrieval leveraging diverse modeling approaches.
• Deep expertise in recommendation systems, especially large-scale retrieval algorithms and architectures, encompassing Generative Retrieval, User Sequence Modeling, Learning-to-Rank, and efficient ANN techniques.
• Mastery of deep learning techniques and proven ability to optimize model performance for complex retrieval tasks in large-scale environments, across various model types including generative, sequence-based, and ranking models.
• Demonstrated ability to lead complex technical projects across multiple areas of retrieval innovation, drive balanced technological advancements, and mentor junior engineers in a fast-paced, collaborative environment.
• Excellent communication and cross-functional collaboration skills, capable of articulating complex technical visions and building consensus across diverse teams, representing a comprehensive understanding of various retrieval technologies.

Benefits

• Job with base salary $208,145—$364,254 USD
• Equity