Tiktok - Seattle, WA

posted 3 days ago

Full-time - Senior
Seattle, WA
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. The eCommerce industry has seen tremendous growth in recent years, and TikTok Shop is at the forefront of this evolution, re-imagining global eCommerce with rich content and endless joy. The Shop Ads team is dedicated to empowering commerce merchants of all sizes to grow their business efficiently within TikTok's closed-loop ecosystems. Our feature ad solution, Shop Ads, enables TikTok Shop Sellers to promote their products effectively on the platform. As a Senior Backend Software Engineer on the Shop Ads team, you will play a crucial role in building highly scalable machine learning systems and infrastructure to enhance ad ranking results. You will explore, develop, and experiment with new features aimed at improving model accuracy while understanding the objectives of the ads platform. Your expertise in backend development techniques will be essential in improving ad quality and relevancy, ensuring that the best shop ad candidates are delivered to end-users. In this position, you will develop robust core systems and algorithms, including the ads ranking system, model serving system, and mixed ranking system. You will collaborate with global teams, leveraging your strong programming skills and business acumen to drive excellence in our ad solutions. This role is not just about coding; it’s about understanding the business and using technology to create impactful solutions that resonate with our users and merchants alike.

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 take full advantage of state-of-the-art backend development techniques to improve ad quality and relevancy.
  • Develop robust core systems and algorithms, including ads ranking system, model serving system, mixed ranking system, etc.

Requirements

  • BS/MS degree in Computer Science or similar fields, with related industry experience.
  • Solid Computer Science fundamentals (algorithms, data structures, software design).
  • Solid programming skills, proficient in Python/Golang/Java/C/C++.
  • 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.
  • 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 is a plus.
  • 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) (prorated upon hire and increased by tenure).
  • 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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