Senior ML Engineer - Search Relevance & Ads Optimization

Company Overview

We are a global tech leader focused on pushing the boundaries of search engine monetization across various platforms. Our team is dedicated to leveraging state-of-the-art machine learning technologies to optimize advertising solutions and drive innovation in search monetization. With a mission to expand our footprint in the digital advertising space, we are looking for a highly skilled Senior Machine Learning Engineer to join our team and contribute to the growth of our U.S. Search Ads business.

Job Description

As a Senior Machine Learning Engineer on our Search Ads team, you will play a critical role in the development and scaling of a large-scale ad platform. You will be responsible for creating, optimizing, and implementing machine learning models to enhance ad personalization, ranking, and relevance. This role offers a unique opportunity to make a direct impact on the growth and success of our search monetization initiatives.

Key Responsibilities

• Participate in the design and development of a large-scale search ads system.
• Optimize relevance models and strategies using techniques like semantic matching, active learning, and multi-modal models.
• Develop and iterate on ad algorithms to improve ad targeting, personalization, and user engagement.
• Enhance NLP capabilities for better query understanding, including query classification, seq2seq models, NER (Named Entity Recognition), and knowledge graph optimization.
• Work on CTR (Click-Through Rate) and CVR (Conversion Rate) model accuracy, focusing on data analysis, modeling, and feature engineering.
• Conduct research and development on ad pacing algorithms and traffic control to optimize ad performance.
• Collaborate with product managers and cross-functional teams to define product strategies and features.

Qualifications & Skills

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• 5+ years of experience in search, ads, recommendation systems, monetization, or related domains.
• Proficiency in programming languages such as Python, Go, or C/C++.
• Strong expertise in Machine Learning, Deep Learning, NLP, and ranking/recommendation systems.
• Demonstrated ability to analyze data, create predictive models, and optimize performance metrics.
• Excellent problem-solving skills with the ability to think critically and formulate solutions in a clear, concise manner.
• Proven track record of working in fast-paced, cross-functional environments, preferably in Tier 1 or Tier 2 tech companies.
• Strong communication and collaboration skills, with the ability to work effectively in a cross-cultural team setting.
• Bilingual proficiency in Chinese and English is preferred, but not required.

Job Type: Full-time

Location: San Jose, CA, United States