Machine Learning Engineer, Multimodal - Intelligent Integrity

About the Role and Team

Our Business Integrity team at TikTok is committed to delivering reliable, high-performing platforms that fulfill user requirements while maintaining technical excellence. We are expanding our team with dedicated machine learning engineers eager to deepen their business insight and engineering skills. This role focuses on developing scalable machine learning models and fostering cross-disciplinary collaboration globally. As TikTok continues its rapid growth, the team is pioneering an advanced content understanding system aligned with TikTok's monetization objectives. We seek research engineers specializing in machine learning to build an ecosystem that enhances user experience and advertiser value.

Key Responsibilities

• Lead research and development on large-scale models for ad content understanding and security, leveraging LLM, MLLM, and AIGC technologies for e-commerce and short-video advertisements.
• Advance multimodal understanding including text, audio, video, and live streaming by optimizing decision-making models for accurate autonomous risk assessment and generating interpretable Chain of Thought (CoT) for transparent model decisions.
• Investigate reinforcement learning and agent-based methodologies in multimodal review contexts, stay abreast of AIGC technological developments, and tailor algorithmic innovations and engineering solutions for commercial requirements.
• Create specialized multimodal content understanding models to improve ad intent detection, intelligent rule retrieval, and precise risk analysis, thus enriching advertiser creative experience, minimizing undetected non-compliant content, and safeguarding the advertising ecosystem.

Qualifications

• Master's degree or higher in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related disciplines.
• At least one year of experience in algorithm research and development or project execution related to content understanding or AIGC.
• Strong foundational knowledge of machine learning and deep learning theories, with expertise in MLLM/LLM, computer vision, natural language processing, multimodal data fusion, and agent technologies.
• Excellent mathematical capabilities, self-directed learning attitude, problem-solving skills, and practical project experience.
• Proficient programming skills in Python and C++, with hands-on experience in PyTorch or TensorFlow for large model training, fine-tuning, and deployment of inference pipelines.
• Understanding of the technological foundations and practical applications of multimodal large models, including experience with content comprehension, advertising analytics, multimodal representation learning, or intelligent content review.
• Publications in reputable computer science or machine learning conferences are preferred.

About TikTok

TikTok is the premier platform for short-form mobile video content, dedicated to inspiring creativity and spreading joy worldwide. Headquartered in Los Angeles and Singapore, it operates multiple offices globally including New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Working at TikTok

TikTok fosters an inclusive and innovative environment that empowers teams to build products enabling authentic self-expression and connection. The company values curiosity, humility, resilience, and a collaborative spirit driven by an "Always Day 1" mindset. Employees have opportunities to overcome challenges and achieve meaningful impact in a fast-growing tech setting.

Diversity & Inclusion

TikTok strives to cultivate a workplace that honors diverse skills, experiences, and perspectives. The company is deeply committed to inclusivity, reflecting the global communities its platform serves, and welcomes candidates who share this passion.