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 experience, plus a CS, ML, or engineering degree.

Experience with edge or on-prem deployment is valuable, including vLLM, Triton, TensorRT, quantization, or constrained hardware; wearable, AR, or autonomous-driving experience is also relevant.

Genuine interest in computer vision, wearables, and industrial AI.

Compensation & Benefits

Base salary is $180,000 to $230,000 USD annually. Visa sponsorship is available.

Location

On-site, five days per week in San Francisco, California, United States.