Pride Global
7 months ago
Senior Applied Scientist – Computer Vision & Machine Learning 100% Remote (Brazil-Based) | US-Based Company | Paid in USD/hour | PJ Contract
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Company information
- Company
- Pride Global
- Location
- Brasil Brazil
- Posted
- 7 months ago
Job description
Senior Applied Scientist – Computer Vision & Machine Learning 100% Remote (Brazil-Based) | US-Based Company | Paid in USD/hour | PJ Contract We are hiring for The RealReal , a leading US-based luxury resale and eCommerce company transforming how high-end fashion is bought and sold. Our Inbound Team builds highly scalable Machine Learning and Computer Vision systems to determine item attributes (color, material, style) and verify merchandise authenticity at scale. We are looking for a Senior Applied Scientist with expertise in Computer Vision & Machine Learning to join our team. As a key member of our Inbound Team, you will be responsible for developing and maintaining highly scalable Machine Learning and Computer Vision systems that determine item attributes (color, material, style) and verify merchandise authenticity at scale. This is an exciting opportunity to work on cutting-edge projects with a talented team of engineers and scientists. If you are passionate about building innovative solutions using Machine Learning and Computer Vision, we want to hear from you! Requirements: • 5+ years of experience in Computer Vision & Machine Learning • Strong background in deep learning frameworks such as TensorFlow or PyTorch • Experience with computer vision libraries such as OpenCV • Proficiency in Python programming language • Familiarity with cloud-based services such as AWS, Google Cloud, or Azure • Excellent problem-solving skills and ability to work independently • Strong communication and collaboration skills Benefits: • 100% remote work arrangement • Competitive hourly rate paid in USD • Opportunity to work on cutting-edge projects using Machine Learning and Computer Vision • Collaborative and dynamic team environment • Professional development opportunities • Paid time off and holidays
Required skills
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