Senior Machine Learning Engineer Full-time

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

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Work From Home
• Free Food & Snacks
• Wellness Resources
• Stock Option Plan