Job details

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.