Applied Scientist II, Visual Search

Visual Shopping at Amazon is looking for a passionate, talented, and inventive Applied Scientist (L5) with a strong background in computer vision and machine learning to help customers complete their shopping missions more easily.

Are you ready to drive the next generation of shopping innovations at Amazon? When words just aren't enough to describe what customers are looking for, they often turn to other methods such as camera-based search, or using the picture of a celebrity to find inspiration for their fashion purchases. When images aren't enough to convince customers that a piece of furniture will look good, they turn to Augmented Reality to envision how that furniture item would match their living room décor.

The Visual Shopping team has launched many solutions on the Amazon App that use computer vision and machine learning to help customers complete their shopping missions more easily. Multiple internal teams at Amazon use our libraries and APIs to deliver solutions to their own customers. We are a full stack shop, and our team capabilities cover the whole spectrum of solutions across applied science, large scale service engineering, product management, UX design, and mobile app development for both iOS and Android.

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.

* Design, implement, and deploy full-stack computer vision solutions for millions of Amazon customers.

* 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.

* Build on Amazon's tools and vast technical resources.

* Work in a dynamic team that provides continuous opportunities for learning and growth.

About the team

Located in our Palo Alto office, you will experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading internet companies and work alongside other teams across Amazon's businesses and technology initiatives. We provide a highly customer-centric, team-oriented, collaborative environment.

BASIC QUALIFICATIONS

- 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.

PREFERRED QUALIFICATIONS

- 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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

---