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

As a Machine Learning Engineer on the App Ads & Gaming team at TikTok, you will play a pivotal role in enhancing TikTok's global monetization efforts through the development of large-scale application ads delivery systems. This position is integral to pushing the boundaries of personalized online advertising, allowing you to engage deeply with state-of-the-art machine learning algorithms and large-scale distributed systems. Your work will focus on creating innovative machine learning solutions for ranking, building scalable foundations, and launching various products aimed at maximizing the efficiency of deep funnel app ads delivery. In this role, you will be responsible for improving the accuracy of the App Ads delivery system, exploring multi-stage ranking models, conducting data analysis, and developing feature engineering. You will also participate in the innovation of core App Ads systems by utilizing machine learning models and ranking algorithms. Collaboration is key; you will partner with product managers, data scientists, and the product strategy & operation team to successfully launch new App Ads products and features. This position offers a unique opportunity to contribute to a billion-dollar business while working in a dynamic and creative environment that values innovation and teamwork.

Responsibilities

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