Tiktok - San Jose, CA

posted 26 days ago

Full-time - Mid Level
San Jose, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

As a Tech Lead - Machine Learning Engineer for Data Recommendation at CapCut, you will play a pivotal role in optimizing the core recommendation algorithms and strategies for video creation tools on a global scale. Your primary focus will be on enhancing user growth efficiency by improving the distribution efficiency of content created by CapCut and Hypic. This position requires a deep understanding of user behavior and the application of state-of-the-art machine learning technologies to optimize user experiences during content creation. You will be part of a dynamic team that oversees recommendation distribution and user growth optimization across all apps, including Jianying, CapCut, and Hypic, ensuring that our recommendation algorithms are not only effective but also innovative and user-centric. In this role, you will leverage your strong coding skills and solid foundation in data structures and algorithms to tackle complex problems. You will be expected to analyze and solve challenging issues related to machine learning, computer vision, natural language processing, and data mining. Your contributions will directly impact the efficiency of content distribution and user engagement, making this a critical position within the organization. You will also have the opportunity to publish your work in relevant competitions and top academic conferences, further establishing your expertise in the field.

Responsibilities

  • Optimize the core recommendation algorithms and strategy of video creation tools globally, including CapCut and Hypic.
  • Enhance user growth efficiency by optimizing the distribution efficiency of content created by CapCut and Hypic.
  • Optimize user experiences during creation through a deep understanding of user behavior and advanced machine learning technologies.

Requirements

  • Strong coding skills with a solid foundation in data structure and algorithms.
  • Strong theoretical knowledge and practical experience in machine learning.
  • Excellent problem analysis and solving skills, with a passion for tackling challenging problems.
  • Familiarity with one or more areas in machine learning, computer vision, natural language processing, or data mining.
  • Strong practical ability, with papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, etc.) preferred.

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 for 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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