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Multimodal LLM Researcher

Job

DEEPREC.AI

Remote

$350,000 Salary, Full-Time

Posted 3 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/8/2026

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Job Description

Multimodal LLM Researcher $300,000
  • $400,000 Remote, Palo Alto Full-time / Permanent DeepRec has partnered with a high-growth generative AI company (Series B, $130M raised).
They're building multimodal, multi-agent systems that combine language, vision, audio, and video. If you've been looking for a role where your research reaches production and shapes how millions interact with creative AI, this is worth a closer look. You'll help define the next generation of multimodal AI systems. Your work will span research, experimentation, and deployment, with a focus on real-time performance, multimodal reasoning, and agent-based workflows. You'll have the freedom to explore ambitious ideas while working alongside engineers who can bring them into production. What You'll Do
  • Lead research across LLMs, VLMs, and Audio Language Models
  • Design novel multimodal model architectures and training approaches
  • Improve real-time inference across text, image, audio, and video
  • Train and fine-tune autoregressive and diffusion models
  • Build and curate high-quality multimodal datasets
  • Collaborate with engineering teams to deploy research outcomes
  • Publish findings at leading AI conferences and journals What You'll Bring Essential
  • Strong research track record in multimodal AI or foundation models
  • First-author publications at recognised ML, vision, or audio conferences
  • Deep expertise in LLMs, VLMs, Audio LMs, or related fields
  • Strong Python and deep learning experience using modern frameworks Desirable
  • Experience with diffusion models or world models
  • Background in real-time AI systems and model serving
  • Experience building large-scale multimodal datasets We encourage you to apply even if you don't meet every requirement. The right mindset matters as much as the right CV. What's In It For You
  • USD 300,000-400,000
    salary
  • Fully remote working arrangement
  • Ownership of research that shapes production systems
  • Opportunity to publish and contribute to the field
  • Direct collaboration with product and engineering leadership This role offers the chance to work on multimodal AI problems that sit at the intersection of research and real-world deployment.
If you're excited by advancing the field while seeing your work reach users, we'd love to hear from you.