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 Ads Core team, you will be involved in developing state-of-the-art ad technologies, including ranking, retrieval, targeting, bidding, and auction systems. This role is crucial in optimizing ad formats and ranking strategies to enhance the return on investment for advertisers. You will work on building highly scalable machine learning systems and models that improve ad ranking results, exploring and experimenting with new features to enhance model accuracy. In this position, you will need to understand the objectives of the ads platform and leverage modern machine learning techniques to improve ad quality and relevancy. Your responsibilities will include developing robust core systems and algorithms, such as the ads format selection system, ads ranking system, and model serving system. You will be part of a collaborative 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. We are committed to creating an inclusive environment where diverse voices are celebrated, and we strive to reflect the communities we reach. 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

  • Strong coding skills, especially in Python/C++/Go/SQL, with a solid foundation in data structures and algorithms.
  • Knowledge of and hands-on experience with big data processing and parallel computing frameworks, such as Hadoop and Spark.
  • Business acumen and excellent problem-solving, project management, and analytical skills.

Nice-to-haves

  • Experience in building high-load distributed systems or data processing pipelines.
  • Experience in building and troubleshooting machine learning workloads on distributed systems.
  • Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.

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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