vision-language
ABOUT THE ROLE
Join an early-stage industrial AI team building wearable AI copilots for field technicians in critical infrastructure. You will own key parts of the multimodal stack, from production vision-language systems and evaluation to edge inference and real-time voice and video experiences.
WHAT YOU'LL DO
- Build and ship agentic vision-language pipelines for smart glasses, including visual reasoning and tool use across real industrial workflows.
- Develop evaluation systems, capture failure cases, and create data and fine-tuning workflows that improve model quality over time.
- Adapt model orchestration and edge inference to changing connectivity, latency, and hardware constraints.
- Create real-time voice and video interfaces, including conversational and proactive alert experiences.
- Fine-tune and optimize open-weight multimodal models for enterprise and on-premise deployments.
WHAT WE'RE LOOKING FOR
- Two to six years of experience shipping production vision-language or multimodal AI systems, using Python and PyTorch.
- Experience owning model and orchestration layers, delivering end-user products, and taking responsibility for product outcomes.
- Hands-on work with multi-step agents and tool use, evaluation design, data flywheels, and fine-tuning methods such as SFT or RLHF.
- Strong applied computer vision and vision-language experience, with production deployment beyond research or pretraining alone.
- Startup, founding-engineer, or similarly high-ownership experience, plus a track record of driving greenfield work independently.
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