MLLM Algorithm Engineer Graduate (TikTok Search) - 2026 Start (BS/MS)

o pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

• Develop LLM technologies for diverse search scenarios, including pre-training strategies and efficient RLHF, to improve relevance, recency, and other key aspects.
• Utilize MLLMs for visual representation learning and video understanding, strengthening search retrieval capabilities.
• Design personalized ranking algorithms that understand user intent and deliver tailored search results.
• Build reliable, low-latency online search services with large-scale data to ensure stability and superior user experience.

Qualifications

Minimum Qualifications:

• Final year or recent graduate with a background in computer science, artificial intelligence, or related fields.
• Strong foundation in machine learning and deep learning, with experience in NLP, CV, or ML.
• Solid programming skills and fundamental algorithm & data structure knowledge.
• Excellent analytical and problem-solving abilities.
• Proficient in Linux development environment and skilled in C++ and Python.

Preferred Qualifications:

• Experience in large model companies.
• Experience in search, recommendation, or advertising fields.
• Publications in top-tier conferences such as ICLR, NeurIPS, ICML, ACL, EMNLP, NAACL, CVPR, ICCV and ECCV.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at [email protected]