Founding ML Researcher

About the Role

Join an early-stage team building wearable AI for industrial field work. You will own core parts of the multimodal AI stack, from production vision-language model pipelines to real-time assistance on smart glasses, helping technicians carry out complex workflows.

What You'll Do

• Build and ship multi-step, tool-using vision-language model pipelines for real industrial workflows.

• Develop evaluation systems, capture failure cases, and use production data to improve model quality over time.

• Adapt model orchestration and inference to variable connectivity, latency, and hardware constraints.

• Create real-time voice and video interfaces, including conversational and proactive assistance.

• Fine-tune and optimize open-weight multimodal models for enterprise and on-premise deployment.

What We're Looking For

• 0 to 3 years of experience shipping production vision-language or multimodal AI systems, using Python and PyTorch.

• Experience owning model and orchestration layers, including visual reasoning, tool-use agent loops, evaluation design, and applied fine-tuning such as SFT or RLHF.

• Strong applied computer vision experience and interest in wearables, industrial AI, or related real-world applications.

• Experience at a startup or in a high-ownership engineering environment, or equivalent evidence of building and delivering production systems.

• A degree in computer science, machine learning, engineering, or equivalent practical experience.

• Experience with edge or on-premise inference is valuable, including tools such as vLLM, Triton, TensorRT, ONNX, or model quantization.

Compensation & Benefits

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

Location

On-site in San Francisco, United States.