Job Description

DESCRIPTION

---------------



Do you want to help make Alexa smarter for our users and earn the trust from our customer? How about providing a framework to enable Alexa teams to efficiently develop applications that utilizes Alexa customer interaction data and to provide a scalable, secure runtime ecosystem for these applications to access that Red data? As Alexa's customer secure data modeling service team in the Alexa Connected Devices org, our team is dedicated to ensuring the secure and compliant egress of Alexa customer's data to make Alexa models better. Our mission is to provide specialized tools and processes that enable users to access and compute on RED data while maintaining strict adherence to security, regulatory, and customer promise requirements. The Data Access control is responsible for implementing and maintaining robust access control mechanisms, ensuring that only authorized users can access RED data. We also design and manage isolated sandboxed environments, allowing users to perform compute functions on data without compromising security. Data Governance/Linkage capability will allow us to oversee data tracking, detectability, and compliance processes, ensuring that all data access and compute activities are meticulously monitored and recorded. We also provide the capabilities to facilitate the integration and linkage of RED data with other relevant datasets, enabling comprehensive analysis and insights, and we will lead the development and implementation of tools and processes for effective debugging of data access and compute workflows, ensuring quick issue resolution and maintaining data integrity. Finally, we provides end-to-end modeling services to enhance the precision and accuracy of Alexa+ models throughout their development lifecycle. These services include data preparation, supervised fine-tuning, and post-training experiments in a trusted execution environment. By leveraging real customer data within this secure compute environment, scientists can improve Alexa+ model performance in areas such as personalized recommendations and conversation context, all while adhering to Alexa+ 2.0 privacy requirements.



We're an organization that takes career growth seriously. Our managers and leadership care about your personal goals. We value open communication, whether its in regards to what you need to accomplish for your career goals or what we as an organization can improve to better support our teammates and provide the best possible work environment. We foster collaborative working environment, build good relationships with each other, and encourage knowledge sharing throughout our organization. We help team members when they feel stuck and we want to make sure everyone feels included.



Key job responsibilities

What You'll Do



Design and build a framework to enable various Alexa teams to utilize efficiently customer interaction data Provide a scalable, secure runime ecosystem to use Alexa red data Create streaming pipelines supporting continuous ML training, Alexa+ fine tuning and post-training experiments in a trusted execution environment. Maintain Alexa services with SLAs. Achieve operational excellence and reduce on-call efforts by implementing Agentic models to triage and solve the trouble tickets and corresponding security risks. Collaborate with ML scientists to optimize Alexa training infrastructure in a trusted controlled compute environment.


Our Technology Stack



Programming Languages: Java, Python Cloud Platform: AWS Focus Areas: Data Lakes, Microservices, Machine Learning Training Framework, Audio Training Data Preparation


Requirements



Strong software development experience in Java and/or Python Experience with distributed systems and cloud platforms Understanding of data processing and ML modeling service Excellent problem-solving and communication skills




About the team

What We Offer



Career Growth: Dedicated leadership support for your professional development Collaborative Culture: Open communication and knowledge sharing environment Learning Opportunities: Exposure to cutting-edge ML and AI technologies Meaningful Impact: Build systems that improve millions of users' daily lives


What We Value



Customer Obsession: Passionate focus on user needs Technical Excellence: Building robust, scalable solutions Data Privacy: Commitment to protecting customer information Team Collaboration: Supporting and learning from colleagues

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 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.