Applied Scientist, Application Development

Key Skills

Java Programming, AngularJS, Python Programming, Database, Node.js, Framework, SQL, React.js, Selenium, Scala Programming, JIRA, Vue.js, Mocha, Jest, Confluence

Job Description

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 offtheshelf 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 productionready 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 employeeled 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 worklife harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customerobsessed 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 betterrounded 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, frontend 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