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
[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.
