Senior Machine Learning Engineer, TikTok Ads Core- Traffic

$184,300 - $337,250/Yr

Tiktok - Seattle, WA

Full-time - Senior

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. As a Senior Machine Learning Engineer in the TikTok Ads Core team, you will be part of a dynamic environment that thrives on innovation and collaboration. Our team is dedicated to developing state-of-the-art ad technologies, including ranking, retrieval, targeting, bidding, and auction systems. You will play a crucial role in optimizing ad formats and ranking strategies, ultimately enhancing the return on investment for advertisers. In this position, you will be responsible for building highly scalable machine learning systems and models that improve ad ranking results. You will explore, develop, and experiment with new features to enhance model accuracy, ensuring that our ads platform meets its objectives. By leveraging modern machine learning techniques, you will work to improve ad quality and relevancy, selecting the best ad formats for end-users. Additionally, you will develop robust core systems and algorithms, including ad format selection systems, ad ranking systems, and model serving systems. At TikTok, we believe that every challenge is an opportunity to learn, innovate, and grow as a team. We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Join us in our mission to inspire creativity and bring joy to users around the world.

Responsibilities

• Build highly scalable machine learning systems/models to improve ads ranking results.
• Explore, develop and experiment with new features to improve model accuracy.
• Understand ads platform objectives and leverage modern machine learning to improve ad quality and relevancy.
• Develop robust core systems and algorithms, including ads format selection system, ads ranking system, and model serving system.

Requirements

• BS/MS degree in Computer Science, Computer Engineering, or a related technical discipline with 5+ years of industry experience and 3+ years of model optimization experience.
• Solid programming skills, proficient in C/C++ and Python, with familiarity in basic data structures and algorithms.
• Good analytical thinking capability with essential knowledge and skills in statistics.
• Good theoretical grounding in deep learning concepts and techniques.
• Familiarity with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet).

Nice-to-haves

• Good understanding of ads bidding & auction, ads quality control, and online advertising systems.
• Experience in resource management and task scheduling with large scale distributed software (such as Spark and TensorFlow).

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) options for Health Care, Limited Purpose, and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.