Job Description

Machine Learning Engineer, Insights, Data Engineering, Econometrics, Analytics & Science (IDEAS)

Join to apply for the Machine Learning Engineer, Insights, Data Engineering, Econometrics, Analytics & Science (IDEAS) role at Amazon Web Services (AWS)

Machine Learning Engineer, Insights, Data Engineering, Econometrics, Analytics & Science (IDEAS)

Join to apply for the Machine Learning Engineer, Insights, Data Engineering, Econometrics, Analytics & Science (IDEAS) role at Amazon Web Services (AWS)

Description

Amazon is seeking an experienced, self-directed machine learning data engineer to support the research and analytical needs of Amazon Web Services' Sales teams. This is a unique opportunity to invent new ways of leveraging our large, complex data streams to automate sales efforts and to accelerate our customers' journey to the cloud. This is a high-visibility role with significant impact potential.

Description

Amazon is seeking an experienced, self-directed machine learning data engineer to support the research and analytical needs of Amazon Web Services' Sales teams. This is a unique opportunity to invent new ways of leveraging our large, complex data streams to automate sales efforts and to accelerate our customers' journey to the cloud. This is a high-visibility role with significant impact potential.

About AWS

Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (cloud computing). With AWS you can requisition compute power, storage, and many other services gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform for designing and developing applications for the cloud and is growing rapidly with hundreds of thousands of companies in over 190 countries on the platform.

About You

You, as the right candidate, are adept at productionalizing and scaling innovative, high-performance machine learning (ML) and statistics solutions that solve business problems at massive scale. You have carried projects from proof-of-concept to deployment and prediction serving with a high standard for model maintenance and operations. You have turned large volumes of structured and unstructured data into training and prediction sets. You have orchestrated complex and/or distributed modeling systems to unlock new ML capabilities for your customers. You have a strong grasp of popular machine learning and data processing frameworks. You have developed maintainable, reusable components and microservices as part of your pipelines that unlock speed, scale, and integration for others. You are talented at communicating technical concepts clearly to stakeholders in concise, non-technical language.

GSO2024

Key job responsibilities

What You Will Do

• Work with a team of business analysts, data scientists, and engineers to bring ML and statistics solutions to our Sales teams
• Develop and deploy models and pipelines that scale
• Use AWS services like SageMaker, EMR, ECS, Glue, and more to build and deploy scalable machine learning models in the cloud

A day in the life

Example Projects

• Scaling out and deploying regression, classification, and recommendation models
• Developing reusable cloud infrastructure and deployment patterns to accelerate productionalization
• Integrating disparate ML solutions into cohesive customer experiences

About The Team

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud.

About Sales, Marketing And Global Services (SMGS)

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

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 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 $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 This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company - Amazon Web Services, Inc.

Job ID: A2997338

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Consulting, and Engineering

• Industries

  IT Services and IT Consulting

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Job Tags

Full time, Internship, Remote work,

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