Description

　　Interested in Machine Learning? Amazon SageMaker is a fully managed Machine Learning platform that makes it easy to build ML models, manage them, and integrate them with custom applications for online predictions. SageMaker ( https://aws.amazon.com/sagemaker/ ) takes away the heavy-lifting normally associated with large-scale Machine Learning implementations, so that developers and scientists can focus on the truly creative work of modeling and solving the business problem at hand.

　　About the domain -

　　The development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. It is also raising new questions about the best way to build interpretability, privacy, and security into these systems. As more and more enterprises adopt AI for their core business needs, it is imperative that they have the best-in-class tools to monitor and control these crucial systems, and ensure that there is a diversity of perspectives in the ML systems. In this role, you will be empowering customers achieve governance over their data and machine learning projects through technical innovations.

　　About the Role -

　　As an SDE Engineer you will own the innovation in the space of ML Platforms, building compelling functionality for the Amazon SageMaker Service. You will be responsible for leading the technical direction for a team of engineers in design, development, test, and deployment of distributed systems and big data solutions. A successful candidate will have an established background in developing distributed systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.

　　Without trust, machine learning can not achieve its full potential. Please join us to build platform capabilities that help our customers develop secure, transparent, and verifiable fair AI systems.

　　About the team

　　We are enhancing the AWS SageMaker ML platform through adding a suite of capabilities that will empower our customers to achieve governance over their data and machine learning projects, including cross cloud and on-prem.

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

　　Seattle, WA, 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.