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Tech Lead Machine Learning Engineer - Multimodal/LLM, Trust and Safety

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

Experience
4+ years of hands-on experience in machine-learning system development.
Education
Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

About the job

Leads the design and delivery of production machine-learning systems that moderate harmful content across video, images, text, and audio.

What you'll do

  • Own a core content-safety system module and lead engineers in delivering production-ready solutions.
  • Architect and implement ML pipelines spanning data processing, training, evaluation, deployment, and monitoring.
  • Improve moderation models and collaborate with product, policy, and operations teams on safety requirements.

What they ask for

  • Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 4+ years of hands-on experience in machine-learning system development.
  • Experience leading small technical teams or driving major ML modules end-to-end, and deploying large-scale ML models in production.
  • Expertise in at least one of Computer Vision, Natural Language Processing, Large Language Models / Generative AI, or Multimodal modeling.

Nice to have

  • Experience with LLM alignment, safety modeling, or trust & safety domains.

Tools

Computer Vision, NLP, LLMs, Generative AI, Multimodal modeling

AI focus

Develops and deploys multimodal ML and LLM-based content moderation systems, improving model performance for trust and safety.

Model-written summary · the original posting is authoritative

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