About this role
Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. Our mission is to protect billions of users and publishers across the globe every day. We embrace state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the platform. With our team's continuous efforts, TikTok can provide the best user experience and bring joy to everyone in the world.
Responsibilities - What You'II Do
• Play a key role in designing next generation LLM based moderation solutions
• Work on highly-scalable classifiers, predictive models and algorithms with cutting-edge technologies
• Work with engineering teams to implement model pipeline and deploy the service at scale
• Collaborate with product teams to define objectives and improve trust and safety strategy
• Collaborate with data analyst to understand and find data patterns
Qualifications
Minimum Qualifications
- At least 1 year of people management experience
- Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as python or java.
- Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms
- Good communication and teamwork skills, passionate about learning new techniques and taking on challenging problems
Preferred Qualification:
- Experience in trust and safety areas is a plus
- 5+ years hands-on experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, Audio, content understanding or participating in large-scale online machine learning platforms are preferred
- Skilled in LLM, Multimodal LLM and downstream applications are preferred
Description from TikTok's public careers feed, reproduced so you can read the role here. Apply on the company's own site; RealAnalystJobs never submits anything for you.
