Senior Computer Vision & Applied AI Engineer — Production

Medium; Oakland (CA); On-site; USD 160,000 - 200,000; Full time

Job summary

Simbe is seeking 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 search, model evaluation, and customer specific model improvements.

The right person is a strong ML engineer, an exceptional software developer, and a practical builder who thrives on messy real

Qualifications

• 5+ years in computer vision, applied ML or production AI systems.
• Strong Python experience and hands on PyTorch or TensorFlow.
• Experience training and evaluating object detection, segmentation, OCR, visual search, or image recognition models.
• Understanding of dataset curation, annotation quality, model evaluation, error analysis, and experimentation.
• Experience building maintainable production code and data pipelines in Linux.
• Ability to balance research quality with production constraints (latency, compute, memory).
• 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 related tasks.
• Own dataset quality: curate, clean, version, and analyze large real-world training datasets, including hard negative mining and QA.
• Improve model performance: research and implement architecture, loss, data augmentation, synthetic data, and evaluation improvements for precision, recall, latency, and robustness.
• Support model releases: contribute to validation, release gates, inference wrappers, ONNX/TensorRT exports, and production monitoring.
• Develop tooling: build internal tools for evaluation, annotation review, error mining, data visualization, and deployment readiness.
• Partner cross-functionally: work with Product, Customer Success, Data, Robotics Software, and Field Operations to translate issues into improvements.
• Stay current: track open vocabulary detection, multimodal understanding, visual search, OCR, and edge inference and identify value for Simbe.

Skills

Python

PyTorch

TensorFlow

Model training & evaluation

Production code

Data pipelines

Dataset curation

Communication skills

Tools

PyTorch

TensorFlow

Job description

Simbe is seeking 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 search, model evaluation, and customer specific model improvements.

The right person is a strong ML engineer, an exceptional software developer, and a practical builder who thrives on messy real