Tiktok - Seattle, WA

posted 3 days ago

Full-time - Senior
Seattle, WA
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 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. Your primary responsibility will be to develop innovative machine learning solutions and build scalable technology foundations that maximize 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 privacy-enhancing technologies (PETs). In this role, you will be responsible for developing machine learning and PET solutions for a range of ads use cases, such as ads signal extraction and understanding, identity matching, attribution, reporting, ranking, 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. Your work will directly impact the effectiveness of advertising on the platform, helping to create a more efficient and effective advertising ecosystem that respects user privacy. At TikTok, we value creativity, intelligence, and compassion. We are committed to fostering an inclusive environment where diverse voices are celebrated, and employees are empowered to pursue bold ideas. Join us and make a significant impact in the world of online advertising while working with a team that is dedicated to innovation and excellence.

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.
  • Build scalable tech foundations to support various advertising products.
  • Launch products aimed at maximizing signal values for ads in a privacy-preserving manner.

Requirements

  • 5+ years of hands-on experience with applying machine learning methods for ranking.
  • 5+ years of software development experience with strong coding skills, especially 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.

Nice-to-haves

  • Experience with leading ads projects.
  • 5 years of experience in applied machine learning.

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 plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
  • 12 weeks of paid Parental leave and 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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