United States
Redwood Materials
True Talent Solutions Partners
Founding ML Researcher
United States
San Francisco, California, United States
PythonDocker
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.
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