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AI Assistive Navigation Developer

Bella Sharma

Full-time · Job · Chicago

About the role

GPS tells you to turn left in 200 meters. For someone who is visually impaired, that instruction is almost useless. Which left? Past the pole or before it? Is there a curb? A construction barrier? Our assistive navigation app uses computer vision and spatial understanding to give step-by-step guidance that accounts for obstacles, surface conditions, and environmental hazards. The core ML challenge is real-time scene understanding on a mobile phone camera. You'll build models that detect sidewalks, crosswalks, obstacles, stairs, doors, and signage — then translate those detections into audio navigation instructions that update every 2 seconds. Accuracy matters more here than in most CV applications: a missed obstacle can cause physical harm. The accessibility engineering team is six people. You'll work alongside a UX researcher who tests with visually impaired users weekly and a mobile engineer who handles the iOS and Android integration. User feedback drives our roadmap directly — every sprint includes at least two issues reported by real users.

Responsibilities

  • Build and improve scene understanding models for assistive navigation
  • Detect and classify obstacles, surfaces, and navigation landmarks
  • Translate visual detections into clear audio navigation instructions
  • Optimize models for real-time inference on mobile devices
  • Incorporate user feedback from accessibility testing into model improvements
  • Evaluate model safety across diverse urban and indoor environments

Requirements

  • 3+ years in computer vision with object detection experience
  • Experience with mobile or edge model deployment
  • Strong PyTorch skills and understanding of model optimization
  • Sensitivity to accessibility needs and safety-critical applications
  • Interest in assistive technology and inclusive design

Benefits

  • Fully remote with flexible schedule
  • Health and dental insurance
  • $2,500 learning and conference budget
  • Mission-driven work with direct user impact
  • Collaborative team culture with weekly user testing sessions

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Categories

AI & Machine Learning Engineers AI Product & Strategy

Skills

python pytorch computer vision docker fastapi

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

AI & Machine Learning Engineers AI Product & Strategy

Skills

python pytorch computer vision docker fastapi

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