Description

Machine Learning lifecycle automation and MLOps concepts gained massive traction in recent years because of the rapid increase in applying ML to solve customer facing problems inside and outside Amazon. We are looking for SDEs at all levels to join our team and help accelerate ML lifecycle automation and MLOps best practices adoption across all of CDO.

Are you looking for an opportunity to learn new cutting-edge skills and have an Amazon-wide impact? This cross-functional team will focus on building state of the art ML automation features critical to CDO use-cases in close partnership with the AWS SageMaker team. As an engineer on this team you will be working closely with Principal Engineers in CDO and SageMaker to define common ML lifecycle best practices, and to design and build pioneering world-class ML automation features on top of SageMaker for multiple domains and use-cases. This is a unique opportunity to gain technical expertise in highly sought-after skills at Amazon scale, to learn SageMaker technologies, and to apply these skills to create production pipelines for the entire ML model lifecycle from training to inference. Your contributions will have a major impact by enabling, not only CDO orgs, but also external AWS customers who operate at Amazon scale. Our ideal candidate is collaborative, innovative, and interested in working on the intersection of Machine Learning, Software Engineering, and AWS ML architecture. We include sample prioritized features that you will be working on below to demonstrate the scale and the impact of this opportunity.

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

• Experience in machine learning, data mining, information retrieval, statistics or natural language processing

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.