AI Data Platform Engineer — Scalable ML Pipelines

Amazon; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Seattle is seeking a Software Development Engineer to tackle data and distributed-systems challenges at scale. You will build scalable data platforms that transform billions of customer interactions into high-quality training data, signals, and insights for large language models and AI agents.

You will own components spanning data ingestion, behavioral analysis, dataset generation, and experimentation, collaborating closely with applied scientists and engineers to

Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years in design or architecture of new and existing systems
• Experience programming in at least one software language
• Knowledge of ML and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Responsibilities

• Design, build, and operate scalable systems that transform real customer interactions into high-quality datasets, behavioral signals, and actionable insights for model training, post-training, and evaluation.
• Develop data intelligence capabilities to analyze customer behavior, identify meaningful patterns and model quality gaps, and discover signals that improve large language models and agentic systems.
• Build reliable pipelines and self-service tools for data ingestion, filtering, sampling, aggregation, dataset generation, quality validation, and exploratory analysis.
• Partner with applied scientists to define metrics, analyze experiments, evaluate training data effectiveness, and translate findings into improved data recipes and learning signals.
• Develop automated and agent-driven workflows for data curation, anomaly detection, experimentation, evaluation, and continuous model improvement while maintaining high standards for privacy, security, scalability, and operational excellence.

Skills

Large-scale data platforms

Data quality monitoring

Experiment design & statistics

ML collaboration

Model learning signals

LLM workflows knowledge

Tools

JAX

PyTorch

vLLM

SGLang

Dynamo

TorchXLA

TensorRT

CUDA

Job description

Amazon.com Services LLC in Seattle is seeking a Software Development Engineer to tackle data and distributed-systems challenges at scale. You will build scalable data platforms that transform billions of customer interactions into high-quality training data, signals, and insights for large language models and AI agents.

You will own components spanning data ingestion, behavioral analysis, dataset generation, and experimentation, collaborating closely with applied scientists and engineers to