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Research Engineer

Cloudglue· Engineering / Machine Learning
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Hybrid (San Francisco, CA)$120k - $250k + equityFull-timePosted 8mo ago

About the role

Cloudglue is a YC-backed startup building video understanding infrastructure. The role blends research and engineering to develop multimodal retrieval, video understanding, and production-ready systems for scalable video analysis and search.

Responsibilities

  • Multimodal retrieval: Design and improve retrieval systems that search across video, audio, and text - including embedding models, re-ranking, and hierarchical search strategies.
  • Video understanding: Build systems that extract structured information from video - temporal segmentation, entity extraction, scene understanding, and content summarization.
  • Model fine-tuning & integration: Fine-tune and adapt vision and language models (LoRA/PEFT, full fine-tuning) for production use cases. Evaluate open-source and proprietary models and orchestrate them in serving pipelines.
  • Experiment and ship: Run experiments, analyze results rigorously, and turn successful research into production systems that handle real-world video at scale.
  • Collaborate: Work directly with founders and infrastructure engineers. Short feedback loops, no layers of process.

Qualifications

  • MS or PhD in computer science, machine learning, or a related field
  • Research experience in one or more of: multimodal learning, information retrieval, computer vision, NLP, or video understanding
  • Strong implementation skills in Python and PyTorch (or equivalent)
  • Ability to independently drive research from idea to experiment to working system

Skills

Required:PythonPyTorchMultimodal learning
Last updated Aug 26, 2026. Interested? Apply on the company site.
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About Cloudglue

Developer APIs to let your AI/LLM understand videos and audio.

Cloudglue APIs (https://cloudglue.dev) makes it easy to transform video and audio into structured data for your LLM/RAG/AI application. Our developer-friendly APIs makes it easy to integrate video chat into your AI assistant with minimal heavy-lifting.

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