Senior Machine Learning Engineer, TikTok Ads Core - Traffic & Strategy

$187,040 - $280,000/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, 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 group that develops state-of-the-art ad technologies, including ranking, retrieval, targeting, bidding, and auction systems. This role is crucial as personalized online advertising is a major revenue source for Internet companies, and TikTok is one of the fastest-growing apps globally. You will be responsible for optimizing ad formats and ranking strategies to enhance the return on investment for advertisers. In this position, you will build highly scalable machine learning systems and models aimed at improving ad ranking results. You will explore, develop, and experiment with new features to enhance model accuracy, ensuring that the ads delivered to end-users are of high quality and relevance. Your work will involve understanding the objectives of the ads platform and leveraging modern machine learning techniques to select the best ad formats. Additionally, you will develop 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 machine learning and a passion for solving complex technical challenges. You will work collaboratively with a team that values creativity and innovation, driving impact for the company and the communities we serve. At TikTok, we believe that every challenge is an opportunity to learn and grow, and we are committed to creating an inclusive environment where diverse voices are celebrated.

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 industry experience and 3+ years 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 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.
• 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 like 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.