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, with a mission to inspire creativity and bring joy. The Content Growth team plays a crucial role in TikTok's machine learning efforts, focusing on algorithmic approaches to enhance the number of high-quality creators on the platform. This team is dedicated to motivating creators to produce more videos, thereby enriching the overall quality and diversity of content available to users. The work done by this team is vital to TikTok's mission of creating an inclusive and enjoyable platform for users of all ages and backgrounds. As a Machine Learning Engineer on the Content Growth team, you will be responsible for building an industry-leading recommendation system tailored for short-form video content. Your role will involve improving the quality of recommendations through sophisticated machine learning modeling and leveraging domain knowledge. You will also optimize the experience for both creators and viewers by developing a deeper understanding of user behavior through advanced data mining techniques. This position requires a blend of technical expertise, analytical skills, and a passion for tackling challenging problems in the realm of content creation and user engagement.

Responsibilities

  • Build the industry leading recommendation system for short-form video
  • Improve recommendation quality via sophisticated ML modeling and domain knowledge
  • Optimize creator and viewer experience by developing better user behavior understanding through advanced data mining techniques

Requirements

  • 1-3 years+ of industry experience
  • Strong coding, data, and algorithm fundamentals
  • Excellent analytical skills and passion for tackling challenging problems
  • Keen insight and interest in the product
  • Solid teamwork capabilities
  • Experience in one or more machine learning, natural language processing, and data mining
  • Background in recommendation systems, advertising, creator and/or search is a plus

Nice-to-haves

  • Experience in recommendation systems
  • Familiarity with advertising technologies
  • Knowledge of creator engagement strategies

Benefits

  • 100% premium coverage for employee medical insurance
  • Approximately 75% premium coverage for dependents
  • Health Savings Account (HSA) with company match
  • Dental, Vision, Short/Long term Disability, 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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