Tiktok-posted about 1 year ago
$115,200 - $153,600/Yr
Full-time • Entry Level
San Jose, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

The position is for a graduate role within TikTok's recommendation architecture mid-platform team, focusing on the design and development of the recommendation system platform. The role offers an opportunity to participate in the development and optimization of the recommender platform, contributing to the core processes and middleware of the system. Successful candidates will be part of a collaborative environment that encourages creativity and innovation, with a commitment to personal and professional growth.

  • Participate in the development of the recommender platform (backend).
  • Build the core process of the recommender system.
  • Maintain and optimize the core middleware and infrastructure.
  • Abstract the functions and workflow of mid-platform products to improve efficiency and stability.
  • Promote iterative upgrades of the architecture.
  • Analyze and process system meta-information to improve system transparency.
  • Explore the application and implementation of new technologies and concepts in recommendation systems.
  • Bachelor's degree in Computer Science.
  • Solid programming skills, familiar with languages such as C++ and Python3.
  • Familiarity with databases such as MySQL, MongoDB, and Redis.
  • Experience with common backend frameworks such as Flask or FastAPI.
  • Medical, dental, and vision insurance from day one.
  • 401(k) savings plan with company match.
  • Paid parental leave.
  • Short-term and long-term disability coverage.
  • Life insurance.
  • Wellbeing benefits.
  • 10 paid holidays per year.
  • 10 paid sick days per year.
  • 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
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