Roles & Responsibilities
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
Job highlights
Positive team atmosphere, Career growth opportunity
Team Introduction
The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc., as well as new innovative features.
Responsibilities:
We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and TikTok.
- 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.
- Build scalable platforms and pipelines for ads targeting products.
- Work with product and business teams on the product vision.
Minimum Qualification(s):
- MS degree in Computer Science
- Minimum 5 years of experience in Machine Learning work
- Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods.
- Strong coding skills, especially in Python/C /Go. Experience with high-load systems.
- Familiarity with online experimentation and analytics.
- Familiarity with big data systems including Hadoop and Spark.
- Curiosity towards new technologies and entrepreneurship.
Preferred Qualification(s):
- Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus.
- Understanding of the business value of online advertising.
- Experience with user modeling using deep learning methods from large scale datasets. Experience with privacy preserving modeling techniques is a plus.
- Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.
Tell employers what skills you have
Machine Learning
Budgets
Modeling
Big Data
Pipelines
Online Advertising
Experimentation
Hadoop
Targeting
Python
Monetization
Data Science
Scientific Computing
Humility
