Join us in building the systems that enable Amazon’s AI models to learn from real-world customer behavior and continuously evolve at massive scale.

We are seeking a Senior Software Development Engineer to architect and own large-scale training data systems and experimentation frameworks that power Amazon’s next-generation shopping AI. This is a hybrid role that combines distributed systems engineering with strong data science rigor to transform customer interactions — including search refinement, clicks, add-to-cart, and purchase behavior — into measurable learning signals that improve the shopping experience for Amazon customers.

You will build scalable, production-grade systems that convert live traffic into structured datasets used in model training and post-training workflows. Beyond infrastructure, you will analyze model behavior, generate insights into model quality gaps, and refine training data recipes to ensure durable, high-impact improvements. Your work will directly shape how AI systems continuously evolve from real customer behavior.

This role sits at the intersection of ML infrastructure, data science, and production systems, with end-to-end ownership from data ingestion to training data recipe design.

Key job responsibilities
Architect scalable training data systems that enable AI models to continuously learn from live customer behavior

Build high-throughput pipelines that transform production engagement signals into structured training datasets

Analyze model behavior to generate insights into model quality and identify gaps in training data coverage

Design and refine training data recipes, including sampling strategies, signal weighting, filtering, and dataset composition

Apply statistical rigor and experimentation to validate training signal quality and model improvements

Ensure strong data security, governance, and compliance standards across production data workflows

Provide technical leadership across distributed systems and ML training infrastructure

Basic Qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience working with scientists, economists, software developers, or product managers
- Solid understanding of statistics and experience analyzing model behavior to inform training data improvements

Preferred Qualifications

- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience using business metrics and training data to track, trend, and manage the impact of training efforts
- Experience designing or refining training data recipes to improve model performance
- Experience working with live production traffic data and behavioral signals
- Strong understanding of data governance, privacy, and security best practices

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

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, CA, Palo Alto - 193,300.00 - 261,500.00 USD annually
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually