Tiktok - San Jose, CA

posted 4 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. The Monetization Technology teams are at the forefront of building next-generation monetization platforms that empower millions of customers to grow their businesses through our innovative products. As a Machine Learning Engineer in the Ads Engineering team, you will play a crucial role in developing a large-scale Ads system that leverages state-of-the-art applied machine learning techniques. Your work will directly impact the TikTok ads monetization ecosystem, where you will own key targeting components and strategies that enhance the effectiveness of our advertising solutions. In this position, you will collaborate closely with product and business teams to align on product vision and ensure that our machine learning initiatives are effectively integrated into our advertising products. You will be responsible for the development of machine learning projects that not only meet the current needs of our customers but also anticipate future trends in the advertising landscape. This role requires a strong theoretical grounding in machine learning concepts, excellent programming skills, and the ability to think critically to solve complex problems. You will have the opportunity to work with cutting-edge technologies and frameworks, contributing to the continuous improvement of our monetization strategies. At TikTok, we believe in the power of creativity and collaboration. We are committed to fostering an inclusive environment where diverse voices are celebrated, and every team member is valued for their unique perspectives. Join us in our mission to inspire creativity and bring joy to users around the world.

Responsibilities

  • Participate in the development of a large-scale Ads system.
  • Responsible for the development of state-of-the-art applied machine learning projects.
  • Own key targeting components or strategies in the TikTok ads monetization ecosystem.
  • Work with product and business teams on product vision.

Requirements

  • BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
  • 2+ years of experience in and good theoretical grounding in machine learning concepts and techniques.
  • Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.
  • Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc.
  • Ability to think critically and to formulate solutions to problems in a clear and concise way.

Nice-to-haves

  • Preferred experience in ads system, recommendation, searching, ranking, etc.

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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