Vision Engineer Jobs in New York, NY

Refine Results
1 - 4 of 4 Jobs

Computer Vision Engineer (Text Recognition)

OpenBrand

Remote

Full-time

Department: EngineeringLocation: Remote, USA We're looking for a brilliant Text Recognition and Classification specialist to help us become the next AdTech unicorn. In this role you will be responsible for building core Computer Vision technologies in the areas of text recognition, media analysis and understanding. Experience in text detection and classification, ranking, and prediction are critical. Image enhancement and denoising, multiple-view geometry, text rotation detection, bundle adju

Sr. Machine Learning Engineer, Computer Vision

Pinterest, Inc.

Remote or San Francisco, California, USA

Full-time

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility

Computer Vision Developer - REMOTE

CGS Business Solutions

Remote

Full-time

CGS Business Solutions is committed to helping you, as an esteemed Technical Professional, find the next right step in your career. We match professionals like you to rewarding consulting or full-time opportunities in your area of expertise. We are currently seeking Technical Professionals who are searching for challenging and rewarding roles for the following opportunity: CGS is currently accepting resumes for a Lead Computer Vision Software Developer for a FULL TIME REMOTE role. Our customer

Sr. Machine Learning Engineer

General Motors

Remote

Full-time

Job Description Research, design, develop and test robotic and machine learning applications for an AV company. Duties may include: Contribute to the complete machine learning cycle: data collection, labeling, processing, algorithm design, model training, and evaluation. Formulate problem statements specific to autonomous operations and design innovative solutions to address them. Design novel machine learning models and algorithms, including new deep learning architectures, loss functions, and