Senior Machine Learning Engineer

HireIO, Inc. • Full-time • San Jose, CA, US • 3w ago

About Us: Join the Search Ads team, where we are redefining search engine monetization across our platforms, including TikTok, TopBuzz, BuzzVideo, and more. As part of a world-class team, you will tackle large-scale distributed storage and architecture challenges, as well as delve into Natural Language Processing (NLP), ranking, and information retrieval (IR) problems. We are seeking innovative and driven candidates to help us develop our Search Ads product from the ground up.

What You'll Do:

Contribute to the development of a large-scale Ads system
Optimize relevance models and strategies, including:
Semantic matching models
Active learning
Multi-modal (text/photo/video) integration
Ranking strategies
Participate in the iterative development of Ads algorithms using Machine Learning techniques
Enhance NLP capabilities and query understanding, focusing on:
Query classification
Sequence-to-sequence models
Named Entity Recognition (NER)
Knowledge graphs
Bid word optimization
Improve accuracy in CTR/CVR model estimation, data analysis, modeling, and feature engineering
Research and develop Ads pacing algorithms and traffic control mechanisms
Collaborate with product managers and the product strategy and operations team to define product strategy and features

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, or a related field
5+ years of experience in machine learning, deep learning, or data analytics
Proficiency in programming languages such as Python, R, or Java
Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
Strong understanding of algorithms, data structures, and software engineering best practices
Excellent problem-solving skills and ability to work in a collaborative team environment

Benefits