Startups · AI

AI/ML Engineer

Wizard · San Francisco · On-site

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About Wizard

Wizard is the first AI-native shopping agent delivering the smartest and fastest shopping experience, from conversational search to universal checkout. Backed by Accel and NEA.

About the role

You'll own the transcription pipeline, AI-assisted editing features, and model integration (local and API) that make Wizard's AI features actually work in real time on desktop. This is one of two AI/ML seats: the first covers multimodal, CLIP-based visual search; this one is focused on transcription/ASR and on-device inference. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Video or audio ML models (not just LLMs)
  • On-device inference optimization
  • Whisper or similar ASR systems
  • Real-time inference pipelines
More about this role

Wizard is the AI-native platform for creative work, starting with professional video: a native C++ editor and headless media runtime that humans, agents, and developers all operate.

Own transcription, AI-assisted editing features and local model serving so Wizard's AI works in real time on the desktop.

Our GTM plan hinges on a five-minute demo: raw footage in, Oz assembles a cut, a finished trailer comes out — and the trailer's quality is the test of whether any of this actually works. You're building the transcription and inference layer underneath that demo: the thing that has to be fast, accurate, and running locally on somebody's desktop, not a cloud API with a spinner.

You'll own the transcription pipeline, AI-assisted editing features, and model integration (local and API) that make Wizard's AI features actually work in real time on desktop.

This is one of two AI/ML seats: the first covers multimodal, CLIP-based visual search; this one is focused on transcription/ASR and on-device inference.

Transcription (speech-to-text, waveform text display)

AI-assisted editing features

Model serving (local inference)

Video or audio ML models (not just LLMs)

On-device inference...

Read the full posting on Wizard's site ↗

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