In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously.
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, Active learning models, Reinforcement learning models, and Large Language Models.
Requirements
Successful candidates must be able to commit to an onboarding date by end of year 2026.
Minimum Qualifications
Ph.D in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
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.
Application
Please state your availability and graduation date clearly in your resume.
Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for.
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