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Job description
Education
Shipped agentic VLM / multimodal vision systems to real users in production — not demos, not pure research. Owned the model + orchestration layer end- to- end. Must be vision- language multimodality (images/video + VLM), not sensor- fusion or audio- only.
Applied VLM engineering: shipped and hardened vision- language models in production — visual reasoning, detection/segmentation as needed. Depth in applied fine- tuning (SFT, RLHF), eval design, and model orchestration, not pretraining from scratch.
Must work on - site 5 days/week in San Francisco. Ideally open to living in a hacker house.
0 - 3 years of experience shipping production VLM / multimodal AI systems, using Python and PyTorch
Startup or founding- engineer experience (founder, CTO, eng #1–5) OR high- intensity company (Meta Reality Labs, Anduril, SpaceX, top YC). Long single big- tech tenure with no builder signal and no relevant- team work is a negative.
Education
BS or MS in CS, ML, or Engineering from a strong program, OR demonstrated equivalent via shipped production AI systems.
Agentic AI with real tool- use: built multi- step agent loops (not RAG wrappers or single- turn chatbots). Experience with eval harnesses and data flywheels.
Genuinely mission- aligned with computer vision, wearables, and industrial AI — not just chasing LLM trends. Evidenced by project choices, side work, or career trajectory.
Nice-to-have
Production AR / wearable AI (Meta Reality Labs, Snap Spectacles, Apple Vision Pro) or autonomous driving CV (Waymo, Cruise, Aurora).
Education
Master's with vision or multimodal research component (published work or thesis).
Edge inference / on- prem model deployment (vLLM, Triton, TensorRT, quantization). Serving open- weight models on constrained hardware.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.