Tiktok - San Jose, CA

posted 3 days ago

Full-time - Mid Level
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 part of the TikTok Ads Core team, we are looking for innovative Senior Machine Learning Engineers to help develop state-of-the-art ad technologies. This includes working on critical components such as ranking, retrieval, targeting, bidding, and auction systems. You will play a vital role in optimizing ad formats and ranking strategies, ultimately enhancing the return on investment for our 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. A deep understanding of the ads platform objectives is essential, as you will leverage modern machine learning techniques to improve ad quality and relevancy, ensuring that the best ad formats are delivered to end-users. Additionally, you will develop robust core systems and algorithms, including the ads format selection system, ads ranking system, and model serving system. 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 environment where diverse voices are celebrated, and we strive to reflect the communities we serve. Join us in our mission to inspire creativity and bring joy to users around the globe.

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 3+ years industry experience and 2+ 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.
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