AI & Computer Vision Engineer

Overview

Join Brightstar’s engineering team to build intelligent image-processing capabilities for our global software and hardware platforms, supporting retail and digital experiences for state and national government customers in the consumer entertainment market.

You’ll apply machine learning and computer vision to real-world challenges, developing and optimizing solutions that run on devices and in the cloud. This role is critical to the development of next-generation technology across Brightstar’s product portfolio and requires an experienced engineer with a strong foundation in C/C++, advanced image processing, computer vision, and machine learning.

This is a hybrid role located in West Greenwich, RI. Applicants must reside within a commutable distance of the office.

What You'll Do

• Design, develop, test, and maintain high-performance software and embedded applications using C and C++.
• Develop and optimize computer vision and image-processing solutions for image correction, document recognition, OCR, OMR, barcode recognition, mark detection, structured data extraction, and multispectral imaging technologies.
• Enhance image and video quality through advanced mathematical, statistical, and computational techniques.
• Build, train, test, and compare machine learning and deep learning models to improve image recognition, classification, accuracy, and processing performance.
• Build, curate, and manage image datasets and evaluation pipelines used for training, validation, testing, and performance evaluation of AI models.
• Train, evaluate, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, and OpenCV.
• Analyze and optimize solution performance, balancing accuracy, reliability, latency, compute, memory, and resource utilization.
• Explore on-device and cloud-based processing approaches across software and hardware environments.
• Collaborate with software, hardware, systems, product, and data science teams to turn prototypes into integrated and reusable product capabilities.
• Use AI-assisted development tools to accelerate experimentation, coding, testing, and documentation.
• Document findings and communicate technical results, trade-offs, and recommendations.
• Research and evaluate emerging technologies in computer vision, machine learning, and artificial intelligence to support next-generation products and technology platforms.

What We're Looking For

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or a related field.
• 8+ years of professional experience developing software solutions using C/C++, including experience in computer vision, image processing, machine learning, or related AI technologies.
• Proven experience designing and implementing computer vision and image-processing algorithms.
• Strong understanding of image analysis, pattern recognition, machine learning, and deep learning concepts.
• Experience with OpenCV and deep learning frameworks such as TensorFlow and/or PyTorch.
• Experience developing applications in Linux environments, including system-level programming.
• Strong understanding of data preparation, model training, validation, and performance evaluation.
• Experience analyzing and optimizing solutions for accuracy, reliability, latency, and resource utilization.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent collaboration and communication skills with the ability to work effectively across multidisciplinary engineering teams.
• Ability to work hybrid at our West Greenwich, Rhode Island development center.

Helpful, but Not Required

• Familiarity with embedded systems development, Android development, or device integration.
• Experience with OCR, OMR, document processing, structured data extraction, barcode recognition, or multispectral imaging.
• Exposure to cloud-based development platforms or AI services such as AWS or Azure.
• Exposure to multimodal models.
• Experience optimizing models for limited compute, memory, or latency.
• Familiarity with Git, automated testing, and collaborative software development practices.

Why Join Us?

• Real product impact: Build AI and computer vision capabilities intended for deployment across Brightstar’s global software and hardware platforms.
• Hands-on innovation: Apply current AI/ML techniques to practical, complex engineering challenges.
• Cross-functional collaboration: Work across software, hardware, systems, product, and data science to bring intelligent capabilities from concept to product.
• Next-generation technology: Evaluate emerging computer vision and AI technologies and help determine how they can advance Brightstar’s products and platforms.

Strategic Impact

Success Profile

• Leading Complexity
• Leading People
• Leading the Business
• Leading Self

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