Tiktok - San Jose, CA

posted 4 days ago

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 Backend Software Engineer on the Shop Ads team, you will play a crucial role in empowering commerce merchants of all sizes to grow their business efficiently within TikTok's closed-loop ecosystems. The Shop Ads feature ad solution enables TikTok Shop Sellers to promote their products effectively. We are looking for strong Backend Engineers who are excited to enhance their business understanding, build highly scalable and reliable software, and collaborate across disciplines with global teams in pursuit of excellence. In this role, you will be responsible for building highly scalable machine learning systems and infrastructure to improve ad ranking results. You will explore, develop, and experiment with new features to enhance model accuracy. Understanding the objectives of the ads platform will be essential as you leverage state-of-the-art backend development techniques to improve ad quality and relevancy, ensuring the best shop ad candidates are delivered to end-users. You will also develop robust core systems and algorithms, including the ads ranking system, model serving system, and mixed ranking 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 space where employees are valued for their skills, experiences, and unique perspectives. Join us in our mission to inspire creativity and bring joy, and help us shape the future of eCommerce through technology.

Responsibilities

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

Requirements

  • BS/MS degree in Computer Science or similar fields, with related industry experience.
  • Solid Computer Science fundamentals (algorithms, data structures, software design).
  • Proficient programming skills in Python/Golang/Java/C/C++.
  • Hands-on experience with big data processing and parallel computing frameworks, such as Hadoop and Spark.
  • Strong business acumen and excellent problem-solving, project management, and analytical skills.
  • Team-player with strong communication skills who can also work independently.

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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