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Multimodal AI Research Engineer at Series B-backed AI research lab

Are you ready to shape the future of human-machine communication? You'll combine high-level research in vision, audio, and language with the ability to ship production-ready technology at scale. If you want to work alongside world-class researchers on problems that bridge the gap between academic theory and real-world impact, this is the opportunity you've been waiting for.

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Location

San Francisco, United States / Remote

Compensation

Not Disclosed

Company

Confidential company

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Role overview

As a Research Engineer, you will develop state-of-the-art multimodal foundation models to power next-generation interactive digital interfaces. You’ll focus on the intersection of audio, vision, and language to create low-latency, expressive systems. This role offers the unique opportunity to conduct high-level research while shipping impactful technology to a global user base at scale.

About the company

Series B-backed AI research lab

What you will do

  • Research and develop multimodal conversational models to control expressive digital behaviors in real-time with sub-second latency.
  • Fine-tune audio-visual foundation models to improve responsiveness, controllable expressions, and task-specific performance.
  • Partner with applied machine learning teams to migrate research prototypes into high-performance, scalable production pipelines.

Who this is a fit for

  • PhD or equivalent research experience in Deep Learning, specializing in Large Multimodal Models or Generative AI.
  • Expert-level proficiency in PyTorch and experience building complex deep learning pipelines for audio or video understanding.
  • Proven track record of high-impact research, ideally with a history of publications at top-tier venues like NeurIPS, CVPR, or ICLR.

Why this role is remarkable

  • Work on cutting-edge foundation models that bridge generative video and real-time interaction at the frontier of AI.
  • Join a well-funded Series B startup backed by premier global venture capital firms with a high-growth trajectory.
  • Transition research directly into production systems, seeing your work reach millions of users rather than staying in papers.

How Jack & Jill work together

Jack
I get to know what you’re great at, then find roles you’d never find yourself.
Jill
I recruit from Jack’s network and make the intro when I spot a great match.
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Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.

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What happens next?

Jack’s an AI agent for job searching and career coaching. He works for you.

Jill is the AI recruiter working for the company. She recruits from Jack’s network.

If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

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