Applied Scientist, Application Development

US, OH, Virtual Location - Ohio

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Job summary
The AWS Intelligent and Advanced Computing Technologies (IACT) organization is growing an application development team.

Our organization specializes in solving elusive problems. We are a hybrid team of machine learning, quantum computing and high performance computing professionals who support AWS customers by building custom and off-the-shelf applications to solve recurring business problems.

Our team offers the opportunity to engage directly with advanced technologies projects (e.g. computer vision, natural language processing, quantum simulation, and optimization) while supporting AWS customers (e.g. startups, Fortune 500, nonprofit, etc.) across all industries.

Key job responsibilities
You should be ready to collaborate with product managers, machine learning teams, and development teams to support machine learning application development from prototyping through production-ready deployment. This role is a hybrid machine learning (e.g. natural language processing) and application development role. You should feel empowered to collaborate through ambiguous customer environments and understand how IACT applications can best solve customer needs.

Within AWS, you will work closely with Machine Learning, Quantum Computing, and High Performance Computing teams both within Professional Services and externally. You can expect to work with customer product managers, architects, and executives (e.g. Dir., VP, CxO).

About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic Qualifications


-PHD and 5+ years of experience, MS and 7+ years of experience, or 10+ years of experience
-Experience as an Applied Scientist, Software Development Engineer or similar role
-Experience with Machine Learning, High Performance Computing, Distributed Systems, or Quantum Computing
-Experience developing web services using any of the following: Python, Java, Node.js, Go, Scala
-Experience creating and maintaining pipelines, databases, and other backend systems

Preferred Qualifications

-Experience developing machine learning models (e.g. Classical Machine Learning, Computer Vision, Natural Langauge Processing)
-Experience developing rich applications with HTML, CSS, front-end frameworks (such as React, Angular, Vue.js, Thymeleaf, etc.) and test frameworks (e.g. Jest, Mocha, Selenium, etc.)
-Experience with AWS and Serverless technologies is a plus
-Experience working with server side middleware technologies (Spring MVC, ExpressJS, Rails, etc)
-Familiarity with scrum/agile task tracking (e.g. Asana, JIRA, Confluence, etc.)
-Able to identify and mitigate risk on projects




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.

Tags: Agile Angular AWS Computer Vision Distributed Systems HPC Jira Machine Learning ML models NLP Node.js Nonprofit PhD Pipelines Prototyping Python React Scala Scrum Vue

Perks/benefits: Career development Conferences Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  13  1  0
Category: Data Science Jobs

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