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# Machine Learning Engineer, Multimodal - Intelligent Integrity

- **Company:** Tiktok Inc
- **Location:** San Jose, CA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Content Analysis, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), Machine Learning, Performance Tuning, Systems Development Life Cycle, Tensorflow, Pytorch, Large Language Models, Live Streaming, Feature Extraction, Multimodal Fusion
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-multimodal-intelligent-integrity-san-jose-ca--8e29fbed-45a8-411f-bf79-decc412e59c2

## About the Role

Machine Learning, Ecosystems, Scalable System Development, Machine Learning, User Interface/Experience (UI/UX), Business Growth, Algorithms, eCommerce, Research & Development (R&D), Risk, 5. Bachelor's degree or above in CS, AI, Mathematics, Statistics or related majors, with 1+ year of algorithm R&D/project implementation experience in content understanding or AIGC.

 6. Solid ML/DL theoretical foundation, in-depth understanding of MLLM/LLM, CV, NLP, multimodal fusion and Agent technologies; strong mathematical skills, excellent self-learning and problem-solving abilities; project implementation experience preferred.
 7. Proficient in PyTorch/TensorFlow, with hands-on experience in large model training, fine-tuning and inference deployment; excellent engineering capabilities, master Python/C++.
 8. Familiar with technical principles and applications of multimodal large models; experience in content understanding, ad analysis, multimodal representation learning or intelligent review preferred.

## Description

1. Focus on ad content understanding and security, conduct algorithm R&D for large model implementation, and apply LLM/MLLM and other AIGC technologies to e-commerce and short-video ad content understanding to build a next-gen large model-based commercial intelligence review system.
 2. Deepen multimodal understanding tech for text, audio, video, live streaming, etc., optimize model decision-making for high-accuracy autonomous risk judgment, and implement interpretable CoT generation for traceable model decisions.
 3. Explore RL/Agent applications in multimodal review scenarios, track AIGC cutting-edge trends, and deliver algorithm innovation and engineering implementation tailored to commercial business needs.
 4. Develop dedicated multimodal content understanding models to empower ad intent recognition, intelligent rule retrieval and accurate risk judgment, enhance advertisers creation experience, reduce non-compliant content non-detection risks, and protect ad ecosystem security. Minimum Qualifications