Description

　　Interested in machine learning, and empowering the world to do more and better machine learning? Amazon SageMaker (https://aws.amazon.com/sagemaker/) , Amazon Web Service's (AWS) fully managed Machine Learning (ML) platform team is building customer-facing services to catalyze data scientists and developers in their machine learning endeavors. SageMaker takes away the heavy-lifting normally associated with large-scale Machine Learning implementations, so that developers and scientists can focus on solving the business problem at hand.

　　While ML is no longer a new concept, applying ML in production to solve real-world problems at scale is still in this infancy. Today, over 70% AI/ML projects don’t see the light of day due to the challenges in productionizing the model. Our mission is to build a collection of services and tools to help customer in making their ML projects successful. We solve challenges in the new area of “MLOps” (https://aws.amazon.com/sagemaker/mlops/) that will transform ML just like how DevOps transformed software development over the past decades. You will design, implement, test, operate, and support cross-cutting services for new products. Your work will enable customers to build and automate their end-to-end ML workflows that are fully-managed, highly scalable, available, configurable, accessible, and easy-to-use. Your work may span across the backend distributed systems, open-source libraries, and the interactive UI in SageMaker (for frontend/full-stack positions).

　　At SageMaker, there are immense learning as well as growth opportunities. This is a great team to come to have a huge impact on AWS and the world's customers we serve!

　　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.

　　Our team puts a high value on work-life balance. 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.

　　Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re 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.

　　We are open to hiring candidates to work out of one of the following locations:

　　Santa Clara, CA, USA

　　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 $115,000/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. Applicants should apply via our internal or external career site.