Senior CV & Applied AI Engineer - Retail Intelligence

Simbe; San Francisco (CA); On-site; USD 160,000 - 200,000; Full time

Job summary

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn stores into actionable intelligence for leading retailers.

Simbe seeks a Senior Computer Vision / Applied AI Engineer to build production AI systems that turn store imagery into trusted retail intelligence. This role will work across dense product detection, price tag and promo tag detection, OCR, barcode decoding, product association, segmentation, visual

Qualifications

• 5+ years of experience in computer vision, applied machine learning, robotics perception, or related production AI systems.
• Strong Python experience and hands on experience with PyTorch or TensorFlow.
• Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models.
• Strong understanding of dataset curation, annotation quality, model evaluation, error analysis, and experimentation.
• Experience building maintainable production code and data pipelines in a Linux based environment.
• Ability to balance research quality with production constraints such as latency, compute, memory, robustness, and ease of deployment.
• Strong communication skills and a customer value mindset.

Responsibilities

• Build production CV models. Design, train, validate, and deploy models for object detection, segmentation, OCR, barcode localization, product recognition, shelf understanding, and other customer facing computer vision tasks.
• Own dataset quality. Curate, clean, version, and analyze large real world training datasets, including hard negative mining, annotation QA, data audits, and active learning workflows.
• Improve model performance. Research and implement model architecture, loss function, data augmentation, synthetic data, and evaluation improvements that increase precision, recall, latency, and robustness across customers.
• Support model releases. Contribute to model validation, release gates, inference wrappers, ONNX/TensorRT exports, and production monitoring so models are reliable in customer environments.
• Develop tooling. Build internal tools for model evaluation, annotation review, error mining, data visualization, dataset exports, and deployment readiness.
• Partner cross functionally. Work closely with Product, Customer Success, Data, Robotics Software, and Field Operations to turn customer issues into model and pipeline improvements.
• Stay current. Track modern work in open vocabulary detection, promptable segmentation, multimodal product understanding, visual search, OCR, and edge inference, and evaluate where it can create value for Simbe.

Skills

Python

PyTorch

TensorFlow

Object detection

Segmentation

OCR

Visual search

Dataset curation

Production code

Linux

Communication

Latency optimization

Tools

ONNX

TensorRT

CUDA

FiftyOne

CVAT

Labelbox

ROS/ROS2

Job description

Simbe is building the AI powered operating system for physical retail. Our autonomous robots and multimodal computer vision platform turn stores into actionable intelligence for leading retailers.

Simbe seeks a Senior Computer Vision / Applied AI Engineer to build production AI systems that turn store imagery into trusted retail intelligence. This role will work across dense product detection, price tag and promo tag detection, OCR, barcode decoding, product association, segmentation, visual