Description

Are you passionate about using Software Engineering as a way to enable automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? We are building a team of experienced SW Engineers to support this vision.

On this team you will partner with a mature team of Scientists to create the infrastructure and processes needed to support multiple use cases including abstracting text, image, and audio to support ML models, analyze and model customer reading behavior to measure engagement and detect risks, study and optimize manufacturing and fulfillment processes, and build AI-based systems.

Our team has green-field opportunities to create the right infrastructure to support these use cases. We offer autonomy, value end-to-end, ownership, and a strong partnership with our experienced Science sister team.

As a Software Development Engineer, you will help define, design, implement and test the process and infrastructure to enable the Science community to develop, productionalize and monitor their models.

You will be working with large distributed systems of data and providing technical leadership to product managers, teams, and organizations building infrastructure to support these machine learning solutions.

As a SW Engineer, you will help create solutions that are following the required Engineering rigor, building systems that follow the right level of performance, scalability, and availability standards.

Come join us as we continue to revolutionize the book industry!

Key job responsibilities

• Participate on the design, implementation, and verification of components leveraging standard software engineering methodologies

• Support translation of functional and technical requirements into detailed architecture and design

• Participate in code and design reviews to maintain our high development standards

• Work with other teams to deliver and operate large scale, distributed services in the cloud

• Work on overall system architecture, scalability, reliability, and performance

• Mentor other engineers, define our technical culture, and help to build a fast-growing team

Basic Qualifications

• 3+ years of non-internship professional software development experience

• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

• Experience programming with at least one software programming language

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

• Bachelor's degree in computer science or equivalent

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.