vision-language pipelines
ABOUT THE ROLE
Join an early-stage industrial AI team building wearable AI copilots for field technicians working in critical infrastructure. You will own core parts of the multimodal AI stack, from production vision-language pipelines 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 multi-step visual reasoning and tool use in industrial workflows.
- Develop evaluation frameworks, capture failure cases, and create customer-data fine-tuning loops to improve model quality over time.
- Adapt field connectivity and edge inference through model orchestration, runtime optimization, and graceful fallbacks for varying latency and network conditions.
- Create real-time voice and video interfaces, including conversational and proactive alert experiences tailored to end users.
- Fine-tune and optimize multimodal models for enterprise and on-premise deployment.
WHAT WE'RE LOOKING FOR
- Two to six years of experience shipping production vision-language or multimodal AI systems, with Python and PyTorch.
- Experience owning model and orchestration layers end to end, and delivering AI products with measurable user outcomes.
- Hands-on experience with multi-step agents that use tools, evaluation design, data feedback loops, and applied model fine-tuning such as SFT or RLHF.
- Strong applied computer vision and vision-language model experience, rather than pretraining research alone.
- Startup, founding-engineer, greenfield product, or similarly high-ownership e