Founding ML Researcher

About the Role

Join the founding engineering team at an industrial wearable AI startup and build the multimodal AI systems behind smart-glasses copilots for field technicians. You will own key parts of the applied ML stack, bringing real-time visual and voice assistance into demanding industrial workflows.

What You'll Do

• Build and ship agentic vision-language model pipelines that support multi-step visual reasoning and tool use in inspection and standard operating procedure workflows.

• Develop evaluation frameworks, capture failure modes, and create data and fine-tuning loops that improve model quality with each release.

• Adapt inference to changing connectivity and latency constraints through model orchestration, runtime optimization, and graceful fallbacks.

• Create real-time voice and video interfaces, including conversational and proactive alert experiences for different user needs.

• Train and fine-tune multimodal models for enterprise deployments, including on-premise use.

What We're Looking For

• 0 to 3 years of relevant experience, with a track record of building and shipping agentic or multimodal systems to real users.

• Experience with Python, PyTorch, multimodal LLMs, vision-language models, and tools such as Hugging Face Transformers, LangChain, and RAG.

• Familiarity with model serving and optimization, including vLLM, Triton, Ray Serve, ONNX, TensorRT, Docker, and edge AI.

• Knowledge of model training techniques such as SFT, RLHF, and quantization, including GPTQ or AWQ.

• Interest or experience in computer vision, wearable devices, real-time AI, or applied AI for industrial workflows.

Compensation & Benefits

Salary range: $180,000 to $230,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, United States.