Sr Software Dev Engineer, Stores Foundational AI -SFAI

Description

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.

• 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 life cycles, 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,…