Machine Learning Engineer Graduate (TikTok Short Video Content Understanding​/Multimodal Recomme

Our team's mission is to empower content understanding for Tik Tok Short Video business. We focus on cutting‑edge research in content understanding and the development of advanced LLM/MLLM algorithms and applications, including generative recommendation, weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multilingual learning, multimodal pretraining, and more. We aim to succeed both in driving measurable business impact (e.g., recommendation metrics) and delivering state‑of‑the‑art research outputs.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at Tik Tok.

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.

• Lead multimodal algorithm development for Tik Tok’s short-video business, explore applications of multimodal technologies in recommendation systems and other scenarios to improve key business metrics.
• Conduct cutting-edge research in multimodal and MLLM technologies, design advanced algorithms to solve business requirements while achieving technical breakthroughs.
• Drive engineering deployment and implementation, ensuring model stability, scalability, and efficiency in production environments.
• Focus on key areas including (but not limited to):
• General AI platform design and development, including few-shot/zero-shot on MLLM, AI-labeling, auto prompting, active-learning, continue pretraining and RL.
• Integration of content understanding with recommendation systems (e.g., UGC ecosystems, cold start, interest exploration, comment understanding).
• Leveraging multimodal techniques to develop next-generation recommendation systems, such as generative models and end-to-end approaches.

• Proven experience in multimodal content understanding, with expertise in large language models (LLMs) and familiarity with cutting‑edge progress in the field.
• Strong technical foundation in at least one major deep learning framework (e.g., PyTorch, Tensor Flow).
• Proactive mindset, strong sense of ownership, excellent communication skills, and ability to collaborate across teams.
• Individuals who are completing or have recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

• Hands‑on experience deploying content understanding solutions in search, advertising, recommendation, or related domains.

【For Pay Transparency】Compensation Description (Annually)

The base salary range for this position in the selected city is $122574 - $256000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising…