Tiktok - San Jose, CA

posted 2 months ago

Full-time - Entry 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, with a mission to inspire creativity and bring joy. The company operates globally, with headquarters in Los Angeles and Singapore, and offices in major cities including New York, London, and Tokyo. At TikTok, creation is at the core of our purpose, and we strive to help imaginations thrive. This ethos extends to our teams, where we work collaboratively to overcome challenges and drive impact for ourselves, our company, and the communities we serve. We believe in continuous learning, innovation, and growth as a unified team, and we invite talented individuals to join us in this mission. The Recommendation Algorithm Team is pivotal to TikTok's success, influencing critical product decisions and driving platform growth. This team comprises machine learning researchers and engineers dedicated to innovating production recommendation models that significantly impact our products. We are seeking talented individuals to join our team in 2024, offering unparalleled opportunities for career advancement, bold idea exploration, and limitless growth. As a graduate, you will have the chance to co-create a future driven by your inspiration with TikTok. In this role, you will be responsible for building an industry-leading recommendation system that enhances user experience, content ecosystem, and platform security. You will deliver end-to-end machine learning solutions to tackle critical product challenges, own the full stack machine learning system, and optimize algorithms and infrastructure to improve recommendation performance. Collaboration with cross-functional teams will be essential as you design product strategies and develop solutions to expand TikTok's reach in key markets.

Responsibilities

  • Build industry-leading recommendation system, improving user experience, content ecosystem and platform security
  • Deliver end-to-end machine learning solution to address critical product challenges
  • Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance
  • Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets

Requirements

  • Bachelor degree or above in the field of computer science or a related technical discipline
  • Proficient coding skills and strong algorithm & data structure using C++/Python or other programming language
  • Experienced in Machine Learning, familiar with at least one DeepLearning framework, e.g. PyTorch, Tensorflow
  • Effective communication and teamwork skills

Nice-to-haves

  • Experienced in one or more of the following areas, e.g. NLP, CV, Recommender System, and Machine Learning
  • Authors of published papers in top academia conferences is an advantage
  • Winners of algorithm and machine learning competitions such as ACM and Kaggle is an advantage

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
  • 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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