Tiktok - San Jose, CA

posted 4 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, and our mission is to inspire creativity and bring joy. The App Ads and Gaming team plays a crucial role in empowering TikTok's global monetization efforts, which is a billion-dollar business. This team is dedicated to efficiently delivering application ads on TikTok, pushing the boundaries of large-scale ads delivery systems, and leading innovations in personalized online advertising. As a Senior Machine Learning Engineer on this team, you will have the opportunity to work on large-scale distributed systems and state-of-the-art machine learning algorithms. Your role will involve developing novel machine learning solutions for ranking, building scalable foundations, and launching various products that maximize the efficiency of deep funnel app ads delivery. In this position, you will be responsible for the development of a large-scale App Ads delivery system, focusing on improving its accuracy. You will explore multi-stage ranking models, conduct data analysis, and develop feature engineering. Additionally, you will participate in the innovations of core App Ads systems using machine learning models and ranking algorithms. Collaboration is key, as you will partner with product managers, data scientists, and the product strategy & operation team to launch new App Ads products and features. This role is not just about technical skills; it’s about being part of a team that inspires creativity and brings joy to users around the world.

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, and develop feature engineering.
  • Participate in the innovations of core App Ads systems using machine learning models and ranking algorithms.
  • Partner with product managers, data scientists, and the 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.
  • 5+ years of hands-on experience with applying machine learning methods for ranking.
  • 5+ years of software development experience and strong coding skills, especially in Python/C++.
  • Experience with Tensorflow/PyTorch/MXNet is an essential requirement.
  • Hands-on experience with industry-level recommender systems.
  • Proficient in 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 insurance
  • AD&D insurance
  • 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 reimbursement
  • Cellphone service reimbursement
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