Research Engineer, Computer Vision

March 21

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HOVER Inc.

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Transforming smartphone photos into accurate 3D models of any home.

Computer Vision • Software Engineering • 3D Visualization • Measurements • Insurance Tech

201 - 500

Description

• Design, implement, improve, and evaluate generative AI algorithms and systems for image generation and scene understanding • Design and develop creative solutions and novel algorithms in an applied research setting through rapid prototyping to validate hypothesis and identify promising directions to solve failure cases • Continue to learn and deepen technical expertise while mentoring and contributing to the growth of the computer vision group • Provide technical leadership and guidance to team members and the broader organization

Requirements

• Substantial experience developing algorithms for image/3D generation either in academic research or industrial setting • Deep theoretical understanding and practical experience developing novel algorithms for generative models, control over model outputs, and training image-based feature detectors • Creative problem solving skills and excellent software development skills • Comfortable with building prototypes in Python • Highly competitive with a passion for solving hard technical problems • Entrepreneurial mindset and ability to thrive amidst ambiguity and uncertainty Nice to haves: • Master’s degree in Computer Science or related field • PhD related to Image Generative Models • Strong track record of research in related areas including publications in prestigious venues such as CVPR, ICCV, ECCV • Practical experience in writing robust and maintainable production code

Benefits

• Competitive salary and meaningful equity in a fast-growing company • Comprehensive medical, dental, and vision coverage for you and dependents • Unlimited and flexible vacation policy • Paid parental and new child bonding leave • Mandatory Self-Care Days • Recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance • Continued education support including management training, conferences, workshops, or certifications