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Description

As a Software Development Engineer (SDE) in Digital Acceleration (DA) within the MIDAS (Metrics Insight and Discovery Analytics Services) team, you will assume a pivotal role in the development of a comprehensive multi-tenant ML/AI feature management system, built entirely from the ground up. This innovative system built to expedite scientific initiatives by offering a self-service solution for ML practitioners. It enables them to effortlessly generate and access ML inputs at scale, accelerating the development cycle for ML/AI models.

Key job responsibilities

You will have a unique opportunity to design and build the system from scratch, owning the software from inception to delivery and beyond. You will:

- Collaborate with cross-functional teams to design, develop, and implement a state-of-the-art ML/AI feature management system that meets the unique needs of Amazon's digital businesses.

- Ensure the system is scalable and capable of handling large datasets and high-demand workloads to support digital science initiatives.

- Work closely with the privacy team to ensure that the ML/AI feature management system complies with privacy regulations and maintains data quality.

- Continuously explore new technologies and approaches to improve the efficiency and effectiveness of the ML/AI feature management system

About the team

Join the MIDAS (Metrics Insight and Discovery Analytics Services) team at Amazon, a dynamic group of software and data professionals dedicated to transforming the way Amazon leverages data for the benefit of our customers. We are on on a mission to enable Amazon's digital businesses to innovate with data, make faster product and customer decisions, and provide deeper insights into the digital world.

At MIDAS, we're focused on simplifying the complexity of Amazon's data ecosystem by architecting user-friendly, self-service data solutions. Our vision includes developing easy-to-use foundational digital marts, scalable data infrastructures, and self-service analytical products that power insights for product development, marketing, experimentation, and machine learning. All while maintaining the highest standards in data privacy, compliance, and data quality.

If you are passionate about software development, data, machine learning and artificial intelligence, we invite you to join us in shaping the future of data-driven innovation.

Basic Qualifications

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

- 3+ 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

- Bachelor's degree in computer science or equivalent

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

- 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.