Job Description

DESCRIPTION

Have you ever wanted to work on state of the art computer vision and applied machine learning that will make a lasting impact on society?
The Amazon Web Services (AWS) team is seeking an innovation and results-oriented Software Development Engineer in our Amazon Rekognition team (https://aws.amazon.com/rekognition/). Rekognition is a deep learning-based image & video analysis that can be used to identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content.
The engineering team owns the full service stack and solves challenging problems around scaling, efficiency, and reliability to make sure our customers discover content they care about. We are constantly adding new capabilities to the service. The goal is to be the bleeding edge of a highly scalable technology that can analyze millions of images & videos daily and provide rich analytics.

This role requires strong technical expertise with a background in computer vision, excellent leadership and communication, and hands-on skills. If you are excited about the future of computer vision and building new customer experiences, we want to hear from you!

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and were building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future

Our team puts a high value on work-life balance. It isnt about how many hours you spend at home or at work; its about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Amazon is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

BASIC QUALIFICATIONS

2+ years of non-internship professional software development experience
Programming experience with at least one modern language such as Java, C++, or C including object-oriented design
1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
- This particular role is only open for candidates with US Citizenship.

PREFERRED QUALIFICATIONS

Masters degree in Computer Science or related field
Strong problem solving and analytical abilities
Actively practicing professional software engineering best practices for the full software development life-cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Domain knowledge of Computer Vision and/or Machine Learning
Experience working in a software as a service environment (e-commerce or other high scale services)
Experience with working on AWS services (S3, DynamoDB, EC2)
Experience creating new successful REST APIs and SDKs delivered in multiple languages
Create reliable/maintainable code, and find creative and scalable solutions to difficult problems
Meets/exceeds Amazons functional/technical depth and complexity for this role

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.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazons culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

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, visit US Disability Accommodations.