Amazon Applied Scientist II Visual Search 

United States, California, Palo Alto 

686010237

It’s still Day 1, and this is your chance to make history in the new era of online shopping.
Key job responsibilities
As an Applied Scientist in Computer Vision in Visual Shopping you will:* Investigate and solve exciting and hard problems in computer vision, machine learning, natural language processing, and multimodal search, generative AI, etc.* Build on over a decade of mature visual search technology and infrastructure.
* Publish your work at internal and external computer vision conferences.
* Use the latest advances in neural networks and machine learning to bring new experiences for our customers.A day in the life
* Be immersed in a "critical mass” of innovative and top caliber computer vision experts in a collegial and fun environment.
* Work on incredibly hard problems in computer vision that are of value to real world customers.
* Create world-class computer vision products.* Work in a dynamic team that provides continuous opportunities for learning and growth.

- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- A minimum of 5 years of experience in computer vision, image processing, or machine learning
- Publication at top-tier peer-reviewed conferences or journals or a proven track record of industry innovation in creating novel algorithms and advancing the state-of-the-art.

- Demonstrated track record of successful projects in algorithm design and software development through the product lifecycle.
- Deep learning, machine learning, information retrieval, or multi-modal search
- Specific computer vision skills in object detection, recognition, segmentation, and/or tracking.
- 5+ years of developing computer vision and machine learning algorithms in an industrial/corporate setting
- Experience leveraging and augmenting a large code base of computer vision libraries to deliver new solutions.
- Experience deploying solutions to AWS or other cloud platforms.
- Familiarity with vision systems on mobile devices.
- Excellent communication skills, solid work ethic, and a strong desire to write production-quality code.