OUR STORY:

Ulta Beauty is the largest specialty beauty retailer in the United States and the place for the true beauty enthusiast who gets butterflies as she shops for beauty and experiments throughout our store. We are the only one to provide our guests prestige, mass and salon products and services under one roof – All Things Beauty, All in One Place™. We put our guests at the center of all we do, committing to offer her unrivaled ways to be beautiful in an environment that provides the thrill of exploration and delight of discovery.

QM Scientific is a Silicon Valley-based startup that harnesses the power of AI to deliver cutting edge consumer experiences in retail. Through Ulta Beauty’s first-ever acquisition, the QM Scientific team has joined the Digital Innovation team at Ulta. The Digital Innovation team is part of Ulta’s commitment to accelerate innovation to further differentiate Ulta Beauty and elevate our guest experience. Our mission is to bridge digital & physical journeys by leading thought and discovering technology to help create a differentiated & relevant guest experience.

The Computer Vision engineer is a core member of the Digital Innovation team who will push the boundaries of visual perception in support of current and future artificial intelligence (AI) initiatives. The aim is to deliver next-generation experiences that will change how millions of users shop every day. This is a great opportunity to come in at the ground level and make your mark in a startup environment, while delivering products that push the boundaries of retail technology. We’re looking for rock-stars who will bring fresh ideas from the areas of Computer Vision (CV) and Machine Learning (ML) and to design, build and scale “wow” consumer experiences in a fast-paced innovation-focused environment. As part of the innovation team, the candidate will be versatile, display leadership qualities and be enthusiastic to tackle challenging problems.

• Algorithmic Development:  Design and implement novel algorithms that will power retail-oriented AI applications. Areas to tackle include core areas such as rapid object detection, visual contextual learning, and semantic segmentation. This may require developing novel algorithms and/or understanding how to apply existing methodologies to solve given domain specific problems.
• Platform Development: Contribute and integrate all efforts into a team-wide AI platform using best-of-class and scalable software engineering practices.
• Relation Management: Explain and present complex algorithms in a concise manner to internal stakeholders in order to garner support and buy in from business partners.
• Mentor: Mentor cross functional collaborators or lesser experienced team members in the use CV/ML methodologies and techniques.

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Requirements

• Bachelor's degree in Electrical/Computer, Computer Science or other related scientific degrees (Physics, Applied Mathematics, etc…), with a focus on computer vision, machine learning, and image processing.
• Experience with supervised and unsupervised CV/ML algorithm design.
• Strong programming abilities and language familiarity with C/C++, Python, and/or MATLAB.
• Experience with computational/deep learning frameworks such as TensorFlow.
• Demonstrated passion for, and ability to drive, innovation & emerging computer vision technologies.
• Demonstrated ability to learn quickly in order to understand our rapidly evolving product, business, intellectual property, and guest needs.
• Ability to communicate clearly and concisely across a variety of audiences including technology and business.
• Ability to think strategically as well as tactically in order to drive ideas into action.
•  Some travel required (stakeholder meetings / training / conferences).

PREFERED FOR CONSIDERATION:

• MS or PhD in Electrical/Computer Engineering or Computer Science.
• 2+ years of industry experience within CV, ML, or similar.
• Experience with low-level GPU computing using APIs such as CUDA or OpenCL.
• Experience with Cloud Computing.