Sr Software Dev Engineer, Stores Foundational AI SFAI

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Department:

Software Development

Job Summary

Join us in building the systems that enable Amazons 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 Amazons 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

- 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

- 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 Companys 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 for more information. If the country/region youre applying in isnt 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 CA Palo Alto - 193300.00 - 261500.00 USD annually
USA WA Seattle - 168100.00 - 227400.00 USD annually


Required Experience:

Senior IC

Join us in building the systems that enable Amazons 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 Ama...
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Key Skills

  • Customer Orders
  • Sales Reports
  • Accounting
  • Daily Operations
  • Communication
  • Products Knowledge
  • Store Management
  • Sales goal
  • Credit Card
  • New Merchandise
  • Financial Transactions
  • Computer System
  • Sales Floor
  • Customer Relationship
  • Store policies

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