Tiktok - San Jose, CA

posted 3 months 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 the Lead Ads team, you will be deeply involved in the development of large-scale distributed systems and state-of-the-art machine learning algorithms. Your work will focus on developing novel machine learning solutions for ranking, building scalable foundations, and launching various products that maximize the efficiency of lead ads delivery. In this role, you will work on the development of a large-scale online ads delivery system, aiming to improve its accuracy and effectiveness. You will explore multi-stage ranking models, conduct data analysis, and develop feature engineering techniques. Additionally, you will participate in the innovations of online 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 Lead Ads products and features. This position offers a unique opportunity to push the boundaries of online advertising and contribute to TikTok's mission of inspiring creativity and bringing joy to users around the world.

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 a company match
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans
  • Flexible Spending Account (FSA) Options like 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 and cellphone service reimbursements
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service