Research Engineer

Cloudglue
San Francisco, Seattle, Los Angeles
Workplace: RemoteFull timeUSD 120,000 - 250,000 annuallyFunction: Research & Scientific (R&D)Education: mastersSkills: ["Collaboration","Communication","Problem-solving"]

We are seeking a Research Engineer to work on core multimodal retrieval and video reasoning systems, balancing research depth with production deployment. You’ll design novel retrieval and understanding approaches, implement them in production, and collaborate with founders and engineers to ship impactful ML solutions at scale across video, audio, and text modalities.

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FursaFursa
Cloudglue
Cloudglue
5 months ago

Research Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

We are seeking a Research Engineer to work on core multimodal retrieval and video reasoning systems, balancing research depth with production deployment. You’ll design novel retrieval and understanding approaches, implement them in production, and collaborate with founders and engineers to ship impactful ML solutions at scale across video, audio, and text modalities.
Location: San Francisco, Seattle, Los Angeles
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key 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, including temporal segmentation, entity extraction, scene understanding, and content summarization.
  • •Model fine-tuning & integration: fine-tune and adapt vision and language models for production use cases; evaluate open-source and proprietary models and orchestrate them in serving pipelines.
  • •Experiment and ship: run rigorous experiments, analyze results, and turn successful research into production systems that handle real-world video at scale.
  • •Collaborate: work directly with founders and infrastructure engineers in a fast feedback loop.

Pay and Benefits

Salary: USD 120,000 - 250,000 annually

Key Requirements

  • •MS or PhD in computer science, machine learning, or a related field
  • •Research experience in 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
  • •Experience deploying ML systems in production (Nice to Have)
Experience:Multimodal learningInformation retrievalComputer visionNLPVideo understanding
Education:Master's
Skills:CollaborationCommunicationProblem-solving
Tech Stack:PythonPyTorchLoRAPEFTQLoRARayKubeflowTensorRTVLLM

Eligibility

Visa:US citizen/visa only
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Cloudglue
Cloudglue provides a developer-focused platform that simplifies integrating and automating cloud services via a unified API and visual workflows, enabling engineers to connect, transform, and sync data across cloud providers and SaaS applications.
Industry: API Platforms
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