Software Dev Engineer II, Sales Insights and Data Science

About the role

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.

Responsibilities

• Productionalize and scale innovative, high-performance machine learning (ML) and statistics solutions that solve business problems at massive scale.
• Carry projects from proof-of-concept to deployment and prediction serving with a high standard for model maintenance and operations.
• Turn large volumes of structured and unstructured data into training and prediction sets.
• Orchestrate complex and/or distributed modeling systems to unlock new ML capabilities for customers.
• Develop maintainable, reusable components and microservices as part of pipelines that unlock speed, scale, and integration for others.
• Communicate technical concepts clearly to stakeholders in concise, non-technical language.

Qualifications

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.
• Strong grasp of popular machine learning and data processing frameworks.

Benefits

Amazon offers comprehensive benefits including:

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans).
• Employee Assistance Program (EAP), Mental Health Support, Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.
• Sign-on payments and restricted stock units (RSUs).

Learn more about our benefits at Amazon Jobs Benefits.

Pay

• USA, CA, San Francisco: $165,200.00 - $223,600.00 USD annually.
• USA, TX, Austin: $143,700.00 - $194,400.00 USD annually.
• USA, VA, Arlington: $143,700.00 - $194,400.00 USD annually.
• USA, WA, Seattle: $143,700.00 - $194,400.00 USD annually.

About the Team

Amazon 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s 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 and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.