Machine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 Start

The algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

• Collaborate with product teams to define business objectives and improve trust and safety strategy.
• Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale.
• Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.
• Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, learning models, Reinforcement learning models, and Large Language Models.

Qualifications

Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computer science or a related discipline.
- Hands-on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas.
- Strong coding skills.
- Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.