Senior Applied Scientist, Amazon Q Developer Science Job at Amazon Web Services

Overview

Senior Applied Scientist, Amazon Q Developer Science role at AWS.

The Amazon Q Developer Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) agents and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developers work. The team collaborates with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon SageMaker. If you are excited about working in cloud computing and building new AWS services, we’d love to talk to you.

Responsibilities

• As a senior Applied Scientist, you will be recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions.
• Address ambiguous problem areas where the business problem or opportunity may not yet be defined, pursuing problems that may require scientific breakthroughs.
• Take a long-term view of business objectives, product roadmaps, technologies, and how they should evolve. Lead mindful discussions with customers, engineers, and scientist peers, and provide context for current technology choices.
• Make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.

About The Team

Why AWS: AWS is a leading cloud platform trusted by startups to Global 500 companies. We continuously innovate to power customers’ businesses.

Basic Qualifications

• 3+ years of experience building machine learning models for business applications
• PhD, or Master’s degree with 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with large-scale distributed systems such as Hadoop, Spark, etc.
• Experience in building machine learning models for business applications

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $150,400/year in our lowest geographic market up to $260,000/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company - Amazon.com Services LLC

Job ID: A3076459

Location notes: Seattle, WA; Redmond, WA; Bellevue, WA with varying compensation ranges by location.