Tiktok - San Jose, CA

posted 3 days ago

Full-time - Senior
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 Tech Lead Senior 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, building scalable technology foundations, and launching various products aimed at maximizing signal values for ads while ensuring user privacy. The team is engaged in a variety of projects, including web/app signals modeling, identity matching, probabilistic attribution, modeled conversions, and the implementation of various privacy-enhancing technologies (PETs). In this role, you will be responsible for developing 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, calibration, and bidding. You will collaborate closely with product and business teams to define and execute the product vision, ensuring that the solutions you develop 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.
  • Lead projects related to advertising effectiveness and machine learning applications.
  • Engage in online experimentation and analytics to enhance product offerings.

Requirements

  • 7+ years of hands-on experience with applying machine learning methods for ranking.
  • 7+ years of software development experience with strong coding skills, particularly in Python, C++, or Go.
  • Experience leading ads projects and familiarity with online experimentation and analytics.
  • Curiosity towards 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 healthcare 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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