Computer Vision Engineer

Title: Computer Vision Engineer IVLocation: Redmond, WADuration: 12 monthsResearch Engineer (CW), Computer VisionDeveloping wearable sensing technologies that will define the future of AI experiences. We are looking for a creative, skilled, and motivated Research Engineer to join our team in advancing the state-of-the-art of computer vision and multi-modal sensing with wearables, including action and gesture recognition, object detection and tracking. You will work with research scientists, software engineers and hardware engineers to build and optimize wearable sensing systems in a fast-paced multidisciplinary environment. The ideal candidate is a hands-on CV/ML engineer with deep CV domain expertise, attention to detail, and a track record in building user-facing, real-time, interactive applications.Must Have:Hands on experience Computer vision practitionerHands on experience with PythonExperience transferring technology from research in Computer Vision, Machine Perception or Machine Learning into a shipping productNice to haveAttention to detailWorking with actual cameras and actual hardware is plusRefer to preferred qualificationYears of Experience:5-7 Years of experienceResponsibilitiesTrain CV/ML models for wearable AI experiences, including gesture recognition, object detection, scene understandingMeasure and report performance of our CV/ML models under real-world conditionsImprove our CV/ML models through failure analyses and hyper-parameter optimizationCollaborate across an interdisciplinary team of researchers and engineers to build an end-to-end wearable CV system (sensor hardware, data collections, training, evaluation, real-time inference)Minimum QualificationsBS degree experience in Computer Science, Mathematics, Engineering or a related field3+ years of hands-on experience in researching and developing Computer Vision algorithms and systems in academia or industrial setting3+ years of experience writing software (Python and C/C++) and executing Machine Learning experiments3+ years of experience working with Deep LearningExperience working and communicating in a cross-functional, diverse team environmentPreferred QualificationsExperience transferring technology from research in Computer Vision, Machine Perception or Machine Learning into a shipping productExperience with Human Computer Interaction and interactive applications of Computer Vision and Machine LearningExperience with low-level image and signal processingExperience with joint hardware-software development and rapid prototyping of camera and sensors hardwareKey Projects/Day-to-Day Responsibilities:Very similar to ML Engineer, who has worked with computer vision engineer, who has worked with images, vision.Must Have:Hands on experience Computer vision practitionerHands on experience with PythonExperience transferring technology from research in Computer Vision, Machine Perception or Machine Learning into a shipping productNice to haveAttention to detailWorking with actual cameras and actual hardware is plusRefer to preferred qualificationYears of Experience:5-7 Years of experienceDegrees/Certifications Required :BS degree experience in Computer Science, Mathematics, Engineering or a related field