Software Development Engineer, ML Data Infrastructure, Digital Acceleration
Software Development Engineer, ML Data Infrastructure, Digital Acceleration
Posted on :
17-05-2025
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1 Vacancy
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Job 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 multitenant ML/AI feature management system built entirely from the ground up. This innovative system built to expedite scientific initiatives by offering a selfservice 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 crossfunctional teams to design develop and implement a stateoftheart ML/AI feature management system that meets the unique needs of Amazons digital businesses.
Ensure the system is scalable and capable of handling large datasets and highdemand 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 Amazons digital businesses to innovate with data make faster product and customer decisions and provide deeper insights into the digital world.
At MIDAS were focused on simplifying the complexity of Amazons data ecosystem by architecting userfriendly selfservice data solutions. Our vision includes developing easytouse foundational digital marts scalable data infrastructures and selfservice 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 datadriven innovation.
3 years of noninternship professional software development experience
3 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Bachelors 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 for more information. If the country/region youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 crossfunctional teams to design develop and implement a stateoftheart ML/AI feature management system that meets the unique needs of Amazons digital businesses.
Ensure the system is scalable and capable of handling large datasets and highdemand 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 Amazons digital businesses to innovate with data make faster product and customer decisions and provide deeper insights into the digital world.
At MIDAS were focused on simplifying the complexity of Amazons data ecosystem by architecting userfriendly selfservice data solutions. Our vision includes developing easytouse foundational digital marts scalable data infrastructures and selfservice 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 datadriven innovation.
3 years of noninternship professional software development experience
3 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Bachelors 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 for more information. If the country/region youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
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