Senior Machine Learning Engineer, Trust and Safety - USDS

About the team
Our Trust and Safety engineering team is responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace the state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

We are looking for machine learning engineers who can take initiative, design and develop advanced machine learning solutions, and deploy them. A successful candidate will have machine learning expertise and good software engineering experience. And you will take pride in working with engineers, product managers and business partners to identity and solve the most challenging safety and integrity problems in the internet scale.

Responsibilities
- Play an important role in building the trust and safety machine learning model
- Work on highly-scalable classifiers, predictive models and algorithms in big data mining, computer vision, NLP and other domains
- Work with engineering teams to implement model pipeline and deploy the service at scale
- Collaborate with product team to define objectives and improve trust and safety strategy
- Collaborate with data analyst to understand and find data patterns