Computer Vision Engineer

Current job opportunities are posted here as they become available.

Clarapath is a medical robotics company based in Westchester County, NY, dedicated to transforming and modernizing laboratory workflows. Our mission is to improve patient care by increasing efficiency, reducing costs, and enhancing the quality and consistency of laboratory processes.

Our portfolio includes Section Star™ and Trim Star Pro™, innovative electro-mechanical systems designed to automate and elevate critical steps in the histology workflow. Section Star™ delivers high-quality, consistent tissue sections, while Trim Star Pro™ streamlines and standardizes the trimming process - together enabling laboratories to operate with greater precision, throughput, and reliability.

At Clarapath, we bring together experts across engineering, data science, robotics, healthcare innovation, and laboratory operations. Our R&D team drives innovation, product enhancements, and a strong pipeline of new solutions, while our manufacturing team oversees production and quality control at our ISO-certified facility. Also based in our New York headquarters are our sales, marketing, administrative, and service teams, who work closely together to ensure every customer receives a seamless, personalized experience at every touchpoint.

The Computer Vision Engineer will play a key role in the development, integration, and continuous improvement of computer vision systems for Clarapath’s advanced Section Star™ and Trim Star Pro™ platforms. This individual will contribute to all phases of the product development lifecycle, from algorithm development and data collection through model training, testing, validation, deployment, and continuous improvement in the field. Working closely with mechanical, electrical, embedded software, manufacturing, quality, and customer-facing teams, the Computer Vision Engineer will develop robust vision-based solutions that enable accurate, reliable, and automated laboratory workflows while meeting performance, reliability, and regulatory requirements.

We are seeking a hands-on engineer who enjoys solving complex technical challenges, thrives in a collaborative and fast-paced environment, and is passionate about applying computer vision, machine learning, and image processing technologies to innovative medical devices and automation systems that improve laboratory workflows and patient outcomes.

• Develop, implement, and optimize computer vision and image processing algorithms for medical robotics and automated laboratory systems
• Design vision-based solutions for object detection, segmentation, tracking, registration, measurement, inspection, and alignment
• Develop and deploy machine learning and deep learning models for image analysis and automated decision-making
• Collect, curate, annotate, and analyze image datasets to support algorithm and model development
• Evaluate model and algorithm performance using appropriate metrics, testing methodologies, and real-world datasets.
• Integrate computer vision algorithms with robotic, mechanical, electrical, and software systems.
• Develop solutions that operate reliably under real-world variations in lighting, positioning, imaging conditions, tissue characteristics, and system configurations
• Prototype and test algorithms using laboratory equipment, imaging systems, and production hardware
• Troubleshoot and optimize vision systems during development, verification, manufacturing, and field deployment
• Collaborate with Software, Electrical, Mechanical, Manufacturing, Quality, and R&D teams to translate system requirements into practical computer vision solutions
• Participate in design reviews, technical investigations, root-cause analysis, and continuous improvement…