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Customer Facing Applied AI Engineer, Retail Perception

Simbe Robotics — Tracked from its lever job board

San Francisco Bay Area Mid USD 120,000–160,000 Posted Aug 5, 2026
ML
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About the role

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer focused product design to help retailers improve shelf availability, price and promo execution, inventory accuracy, and store team productivity.
Simbe is looking for a Customer Facing Applied AI Engineer to help turn our computer vision and data platform into customer value across new and existing retail deployments. This role sits at the intersection of Computer Vision, Data, Product, Customer Success, and Field Operations. You will configure, tune, validate, and troubleshoot Simbe's AI pipelines for customer environments, helping retailers get accurate and actionable insights from Tally as quickly and reliably as possible.

What the index says about this role

  • First seen by JobLarper — Aug 6, 2026, 2 days ago. Still inside the window where applications get read by a human rather than a pile.
  • No pay range in our index for this listing. Across 193 indexed Machine Learning Engineer roles in US that do publish one, the middle half sits between $213k and $300k, median $250k — JobLarper's read of the market, not a figure from Simbe Robotics.
  • What Machine Learning Engineer roles ask for — across 1,108 indexed openings: ML (78%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%). This posting names ML.
  • Simbe Robotics is hiring actively — 13 open roles indexed.

Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.

⚡ JobLarper watched this role appear on Simbe Robotics's official board on Aug 5, 2026. Sign up free to get alerted minutes after roles like this go live, and tailor your real résumé to the exact description — nothing invented.

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