Tech Lead Machine Learning Engineer, TikTok Ads Core - Traffic & Strategy

$224,000 - $410,000/Yr

Tiktok - San Jose, CA

Full-time - Senior

San Jose, CA

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

About the position

TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. As part of the TikTok Ads Core team, you will be at the forefront of developing state-of-the-art ad technologies that include ranking, retrieval, targeting, bidding, and auction systems. This role is crucial as personalized online advertising is a major revenue source for TikTok, and we are looking for innovative Senior Machine Learning Engineers to help optimize ad formats and ranking strategies, ultimately improving return on investment for advertisers. In this position, you will build highly scalable machine learning systems and models aimed at enhancing ad ranking results. You will explore, develop, and experiment with new features to improve model accuracy, ensuring that the ads platform objectives are met. Your work will involve understanding the intricacies of the ads platform and leveraging modern machine learning techniques to enhance ad quality and relevancy, as well as selecting the best ad formats for end-users. You will also be responsible for developing robust core systems and algorithms, including the ads format selection system, ads ranking system, and model serving system. The ideal candidate will have a strong background in computer science or a related technical discipline, with extensive industry experience and a solid understanding of deep learning concepts. You will be part of a collaborative team that values creativity and innovation, and you will have the opportunity to tackle exciting technical challenges in one of the fastest-growing apps globally.

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 7+ years industry experience and 5+ years model optimization experience.
• Solid programming skills, proficient in C/C++ and Python, familiar with basic data structures and algorithms, and Linux development environment.
• Good analytical thinking capability with essential knowledge and skills in statistics.
• Good theoretical grounding in deep learning concepts and techniques.
• Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet).

Nice-to-haves

• Good understanding in 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, and a Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• 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.