T
True Talent Solutions Partners

Founding ML Research Engineer

San Francisco·$180K–230K

Client Roles

ABOUT THE ROLE

Join an early-stage industrial AI team building wearable AI copilots for field technicians working in critical infrastructure. You will own key parts of the multimodal AI stack, from production vision-language systems to edge inference and real-time voice-video experiences.

WHAT YOU'LL DO

  • Build and ship agentic vision-language pipelines for smart glasses, including tool-using visual reasoning for inspections and operational procedures.
  • Develop evaluation frameworks, capture failure cases, and create data and fine-tuning loops that improve model quality over time.
  • Adapt inference and connectivity for field conditions through model orchestration, runtime optimization, and graceful fallback.
  • Create real-time voice and video interfaces with conversational and proactive alert capabilities.
  • Fine-tune open-weight multimodal models for enterprise and on-premise deployment, including supervised fine-tuning, preference optimization, and quantization.

WHAT WE'RE LOOKING FOR

  • Two to six years of experience shipping production vision-language or multimodal AI systems, using Python and PyTorch.
  • End-to-end ownership of production AI products and their outcomes, including model orchestration and multi-step agents with real tool use.
  • Hands-on experience with visual reasoning, model fine-tuning, evaluation design, and data flywheels; experience with edge inference or on-premise deployment is valuable.
  • Startup, founding-engineer, or similarly high-ownership experience, with a track record of driving greenfield work and product decisions.
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