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. As a Machine Learning Engineer on the Ads Signal team, you will play a crucial role in addressing one of the most significant challenges in online advertising: measuring advertising effectiveness in a privacy-preserving world. This position involves developing innovative machine learning solutions and building scalable technology foundations to enhance the signal values for ads while ensuring user privacy. The team is focused on various products, including web/app signals modeling, identity matching, probabilistic attribution, modeled conversions, and implementing privacy-enhancing technologies (PETs). In this role, you will be responsible for creating machine learning and PET solutions tailored to various advertising use cases. This includes tasks such as ads signal extraction and understanding, identity matching, attribution, reporting, ranking, and calibration. You will collaborate closely with product and business teams to define and execute the product vision, ensuring that the solutions developed align with the overall goals of the organization. At TikTok, we value creativity, intelligence, and compassion in our team members. We encourage our employees to embrace curiosity and take calculated risks, fostering an environment where bold ideas can flourish. Join us to make a significant impact in the world of online advertising and contribute to a platform that connects over a billion users globally.

Responsibilities

  • Develop machine learning and PET solutions for various ads use cases, including ads signal extraction and understanding, identity matching, attribution, reporting, ranking, calibration, and bidding.
  • Collaborate with product and business teams on product vision definition and execution.

Requirements

  • 3+ years of hands-on experience with applying machine learning methods for ranking.
  • 3+ years of software development experience with strong coding skills, particularly in Python, C++, or Go. Experience with high-load systems is a plus.
  • Familiarity with online experimentation and analytics.
  • Curiosity toward new technologies and entrepreneurship.

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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