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Machine Learning Engineer, Multimodal - Intelligent Integrity

San Jose, California · Full-time · Posted Oct 28, 2026

Experience
1+ year of algorithm R&D/project implementation experience in content understanding or AIGC.
Education
Bachelor’s degree or above in CS, AI, Mathematics, Statistics, or related majors.

About the job

Develop multimodal machine learning systems to understand and review e-commerce and short-video ads, identify risks, and support commercial content integrity.

What you'll do

  • Build and improve large-model systems for ad content understanding, security, and review.
  • Develop multimodal understanding and interpretable decision-making for text, audio, video, and live streams.
  • Explore RL and Agent applications and create models for ad intent recognition, rule retrieval, and risk judgment.

What they ask for

  • Bachelor’s degree or above in CS, AI, Mathematics, Statistics, or a related major.
  • 1+ year of algorithm R&D or project implementation experience in content understanding or AIGC.
  • Proficiency in PyTorch/TensorFlow and hands-on large-model training, fine-tuning, and inference deployment.
  • Mastery of Python/C++; solid ML/DL foundation and understanding of MLLM/LLM, CV, NLP, multimodal fusion, and Agent technologies.

Nice to have

  • Project implementation experience.
  • Experience in content understanding, ad analysis, multimodal representation learning, or intelligent review.

Tools

PyTorch, TensorFlow, Python, C++, MLLM/LLM, CV, NLP, Agent

AI focus

Applies LLM/MLLM and AIGC to multimodal ad understanding and security; develops content review, risk-judgment, and interpretable decision systems, and explores RL/Agent applications.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)