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 our E-commerce Recommendation Infrastructure team, you will play a crucial role in building and optimizing the infrastructure for our recommendation systems. This team is dedicated to connecting customers with excellent sellers and quality products on TikTok Shop through innovative methods such as E-commerce live-streaming and short videos. We are focused on providing a stable and high-quality experience for our users by working closely with applied machine learning engineers to develop scalable systems that support a variety of algorithms and techniques. In this role, you will be responsible for designing and building a globalized large-scale recommendation system that meets the demands of our rapidly growing user base. You will create high-performance online systems and reliable data pipelines, continuously optimizing and evolving these systems to handle increasing user traffic and data volume. Collaboration with cross-functional teams will be essential as you deliver end-to-end infrastructure solutions that address critical product challenges and enhance recommendation performance. We are looking for individuals who are not only technically skilled but also possess strong teamwork and communication abilities. A positive attitude, a strong sense of ownership, and the ability to work collaboratively are key attributes we value in our team members. If you are passionate about building innovative solutions and making a significant impact in the e-commerce space, we invite you to join us at TikTok.

Responsibilities

  • Build industry-leading globalized large-scale recommendation system
  • Design and build high performance online systems and reliable data pipelines
  • Optimize and evolve the system continuously to support the increase in user traffic and data volume
  • Work with cross-functional teams to deliver end-to-end infrastructure solutions to address critical product challenges and improve recommendation performance.

Requirements

  • Bachelor's degree or above in Computer Science or related fields
  • 5+ years of experience building scalable systems
  • Strong software development experience with C++, Java or other programming languages
  • Good teamwork and communication skills
  • Positive and optimistic attitude with a strong sense of ownership
  • Experience in personalized recommendations, search engine, advertising, machine learning infrastructure, distributed storage system, or big data frameworks.

Benefits

  • 100% premium coverage for employee medical insurance
  • Approximately 75% premium coverage for dependents
  • Health Savings Account (HSA) with company match
  • Dental and Vision insurance
  • Short/Long term Disability insurance
  • Basic Life, Voluntary Life and AD&D insurance plans
  • Flexible Spending Account (FSA) options
  • 10 paid holidays per year
  • 17 days of Paid Personal Time Off (PPTO)
  • 10 paid sick days per year
  • 12 weeks of paid Parental leave
  • 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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