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, and our mission is to inspire creativity and bring joy. The Lead Ads team plays a crucial role in empowering TikTok's global monetization efforts, which is a billion-dollar business, by efficiently delivering lead ads on the platform. As a Machine Learning Engineer on this team, you will be at the forefront of pushing the boundaries of large-scale ads delivery systems and leading innovations in TikTok's personalized online advertising. This position offers a unique opportunity to engage deeply with large-scale distributed systems and state-of-the-art machine learning algorithms. In this role, you will be responsible for developing novel machine learning solutions for ranking, building scalable foundations, and launching various products that maximize the efficiency of lead ads delivery. You will work collaboratively with product managers, data scientists, and the product strategy & operation team to launch new Lead Ads products and features. Your contributions will directly impact the effectiveness and accuracy of our online ads delivery system, making it a vital part of TikTok's advertising strategy. The environment at TikTok is one that fosters creativity and innovation. We believe that every challenge is an opportunity to learn, innovate, and grow as a team. We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our mission to inspire creativity and bring joy extends to our workplace, where we celebrate diverse voices and create an environment that reflects the many communities we reach.

Responsibilities

  • Work on the development of a large-scale online ads delivery system and improve its accuracy.
  • Explore multi-stage ranking models, conduct data analysis, and develop feature engineering.
  • Participate in the innovations of online ads systems using machine learning models and ranking algorithms.
  • Partner with product managers, data scientists, and the product strategy & operation team to launch new Lead Ads products and features.

Requirements

  • BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
  • 3+ years of hands-on experience with applying machine learning methods for ranking.
  • 3+ years of software development experience and strong coding skills, especially in Python/C++. Experience with Tensorflow/PyTorch/MXNet is a plus.
  • Experience with recommender system projects.
  • Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics.
  • 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 insurance
  • Vision insurance
  • Short/Long term Disability insurance
  • Basic Life insurance
  • 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 reimbursement
  • Cellphone service reimbursement
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