Build scalable systems for discovering, processing, curating, transforming, and delivering high-value data for Generative AI model development.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, BELLEVUE - 143,700.00 - 194,400.00 USD annually
Responsibilities
Quickly learn and apply emerging technologies, methodologies, and best practices in Generative AI, data processing, and large-scale model development.
Design, build, and maintain scalable platforms and infrastructure for discovering, scanning, processing, curating, and delivering data used to support LLM evaluation, training, and model improvement.
Develop systems and mechanisms to identify useful evaluation data produced by partner teams, understand its characteristics and usability, and make relevant data easier to discover, standardize, validate, and consume.
Expand the breadth and quality of data available for model development, including evaluation datasets, long-context data, training data, and other high-value data sources.
Build scalable capabilities to transform heterogeneous data from different sources and formats into standardized, high-quality datasets that can be reliably consumed by downstream evaluation and training workflows.
Lead and manage a team of software engineers to build scalable, defect‑free solutions for Amazon Customer Service.
Compensation
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually
Responsibilities
Lead a team of SDEs that create and own scalable solutions that empower Amazon to deliver a defect‑free experience for customers.
Grow existing talent and hire new talent to quickly scale the platform to accelerate defect elimination across Amazon.
Tackle complex technical challenges, create innovative solutions with direct impact on customer trust, and work on systems critical to Amazon's operational excellence.
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
India Prime on Amazon.in, Amazon's marketplace in India, is building a team to take Prime experience of customers to the next level by building capabilities that are relevant for Prime as well as non-Prime customers in India. Our team plays a pivotal role in this program, with the mission to build a comprehensive solution for the India Prime business. This is a rare opportunity to be part of a team that will be responsible for building a successful, sustainable and strategic business for Amazon Prime and to expand the coverage of recurring payments for Prime in India and take it to new emerging markets. The ideal candidate will be instrumental in shaping the product direction and will be actively involved in defining key product features that impact the business. You will work with Sr. and Principal Engineers at Amazon Prime to evolve the design and architecture of the products owned by this team. You will be responsible to set up and hold a high software quality bar besides providing technical direction to a highly technical team of Software Engineers. As part of this team you will work to ensure Amazon.in Prime experience is seamless and has the best shopping experience. It’s a great opportunity to develop and enhance experiences for Mobile devices first. You will work on analyzing the latency across the various Amazon.in pages using MS3, RedShift, DynamoDB, Java, and Ruby on Rails. You will be part of a team that obsesses about the performance of our customer’s experience and enjoy flexibility to pursue what makes sense. Come enjoy an exploratory and research oriented team of Cowboys working in a fast paced environment, who are always eager to take on big challenges.
Basic Qualifications
- 2+ years of quality assurance engineering experience
- Experience in automation testing
- Experience in manual testing
- Experience in UI and API automation testing (Selenium/SOAPUI)
Preferred Qualifications
- Experience in API & Mobile testing
- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control
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.
Develop, test, and maintain software components for Audible's audiobook platform.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Responsibilities
Develop, test, and maintain software components and applications for the world's largest audiobook creator and provider
Identify and resolve software defects through code review, log analysis, metrics examination, debugging, and other troubleshooting methods
Write maintainable and scalable code for software components as part of an agile engineering team
Collaborate with stakeholders to envision, design, develop, test, and launch customer-centric software that inspires and impacts users
Apply computer science, engineering, and analysis principles to solve moderate-scale problems
Requirements
Bachelor's degree in Computer Science or a closely related field
Nice to have: optimization mathematics
Nice to have: linear programming
Nice to have: nonlinear optimization
Nice to have: AI tools for development productivity
Software Development Engineer in Test contractor focused on Agentic AI systems and backend services.
Compensation
$58—$72 USD
Responsibilities
Develop and execute comprehensive QE strategies and test plans for Agentic AI systems, backend services, APIs, and service integrations.
Design and maintain scalable automated test frameworks across API, functional, integration, contract, regression, and end-to-end testing.
Develop testing approaches for non-deterministic AI behavior and establish meaningful evaluation criteria.
Identify quality risks early and apply risk-based, shift-left testing practices throughout the development lifecycle.
Integrate automated testing into CI/CD pipelines and establish effective quality gates.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
Nice to have: Experience testing Agentic AI workflows, including planning, multi-step execution, tool calling, memory, or state management.
Nice to have: Experience with AI evaluation techniques such as evaluation datasets, semantic evaluation, LLM-as-a-Judge, groundedness, relevance, or hallucination detection.
Nice to have: Experience with AI/LLM evaluation or observability tools such as LangSmith, DeepEval, Ragas, Arize Phoenix, Promptfoo, or similar technologies.
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Lead project execution: development and delivery of AI/ML, RF sensing, and communications/networking capabilities from requirements through deployment and sustainment
Translate mission needs into plans: convert customer objectives into requirements, architectures, development plans, milestones, performance measures, and acceptance criteria
Lead the technical team: mentor engineers and researchers, collaborate with systems engineers, RF/communications researchers, DevSecOps personnel and mission partners, communicate technical status, decisions, risks, and tradeoffs
Manage technical work: decompose complex work into actionable tasks and subtasks, manage dependencies, technical risks, interfaces, and progress toward program objectives
Own project architecture: design and oversee architectures spanning RF and sensor-data pipelines, AI/ML integrations, services, APIs, databases, user interfaces, Open RAN integrations, and deployment infrastructure
Requirements
PhD in computer science, software engineering, computer engineering, or related technical discipline
MS in computer science, software engineering, computer engineering, or related technical discipline
BS in computer science, software engineering, computer engineering, or related technical discipline
Nice to have: Active Secret, Top Secret, or TS/SCI security clearance
Nice to have: Architecture experience for distributed, data-intensive, real-time, cloud, on-premises, edge, RF sensing, or communications systems
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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