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. The Monetization Technology teams are at the forefront of building next-generation monetization platforms that empower millions of customers to grow their businesses through TikTok's innovative products. This role as a Tech Lead-Senior Machine Learning Engineer involves participating in the development of a large-scale Ads system and taking ownership of key targeting components or strategies within the TikTok ads monetization ecosystem. The position requires collaboration with product and business teams to align on product vision and ensure the successful implementation of state-of-the-art applied machine learning projects. The ideal candidate will have a strong theoretical grounding in machine learning concepts and techniques, along with excellent programming, debugging, and optimization skills in languages such as Go, C/C++, and Python. Experience with machine learning frameworks like Tensorflow, PyTorch, or MXNet is also essential. This role is pivotal in driving innovation and growth within TikTok's advertising solutions, contributing to the overall mission of the company.

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.
  • 6+ years of experience in machine learning concepts and techniques.
  • Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including Go, C/C++, Python.
  • Experience in one or more of the following frameworks: Tensorflow, PyTorch, MXNet.
  • Ability to think critically and formulate solutions to problems clearly and concisely.

Nice-to-haves

  • Experience with ads systems, recommendation, searching, ranking.

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 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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