Founding ML Researcher

About the Role

Join an early-stage industrial AI team building wearable AI assistants for field technicians. You will own key parts of the multimodal AI stack, taking vision-language systems from development into real-world workflows.

What You'll Do

• Build and ship agentic vision-language pipelines that use visual reasoning and tools to support industrial workflows.

• Develop evaluation systems, capture failure modes, and create data feedback loops to improve model quality.

• Adapt inference and model orchestration for changing connectivity, latency requirements, and edge deployment.

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

• Fine-tune open-weight models using techniques such as supervised fine-tuning, preference optimization, and quantization.

What We're Looking For

• Zero to three years of experience shipping production vision-language or multimodal AI systems, with end-to-end ownership of models and orchestration.

• Strong Python and PyTorch skills, plus hands-on experience with tools such as vLLM, Triton, Ray Serve, ONNX, TensorRT, Hugging Face Transformers, and Docker.

• Experience building multi-step agent loops with genuine tool use, evaluation harnesses, and data improvement workflows.

• Applied experience with model fine-tuning and evaluation, rather than a focus solely on pretraining from scratch.

• Background in computer vision, wearables, industrial AI, autonomous systems, or related applied domains; edge inference or on-prem deployment experience is valuable.

• A relevant degree or equivalent evidence of strong technical fundamentals and shipped AI systems.

Compensation & Benefits

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

Location

On-site in San Francisco, United States.