Python · TensorFlow · PyTorch · Keras · OpenCV
ABOUT THE ROLE
Join an early-stage industrial AI team building the multimodal AI core for wearable assistants used in field operations. You will own production vision-language systems end to end, from model orchestration and evaluation to deployment on real devices.
WHAT YOU'LL DO
- Build and ship agentic vision-language pipelines that support visual reasoning and multi-step workflows.
- Develop evaluation tools, capture failure modes, and create data and fine-tuning loops that improve model quality.
- Adapt model serving to field connectivity, latency constraints, and edge hardware, including graceful fallbacks.
- Create real-time voice and video interfaces, including conversational and proactive assistance modes.
- Fine-tune open-source multimodal models for enterprise deployment, using approaches such as SFT, RLHF, and quantization.
WHAT WE'RE LOOKING FOR
- Typically 2 to 6 years of experience building and shipping production VLM or multimodal AI systems, using Python and PyTorch.
- Evidence of owning AI product outcomes, including agent loops with real tool use, model orchestration, evaluation, and data improvement workflows.
- Applied experience fine-tuning and deploying models, rather than a focus solely on pretraining from scratch.
- Experience with production vision-language systems, computer vision, and image or video reasoning; wearable, AR, industrial AI, or autonomous systems experience is valuable.
- Familiarity with serving and optimizing models using tools such as vLLM, Triton, Ray Serve, ONNX, TensorRT, Hugging Face Transformers, and