Lead ML Data-Prep Platform Engineer

Amazon; Seattle (WA); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Job summary

Amazon is hiring Sr. SDE to build an AI-powered data preparation platform in SageMaker, delivering high-quality, scalable data for ML. You will design auto-labeling, LLM-as-judge features, and human-in-the-loop workflows while collaborating with ML science teams to push AI data quality forward.

The role emphasizes architectural decisions, leadership without formal authority, and delivering secure, rock-solid software at world-class scale. Seattle-based, with AWS leadership exposure.

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.
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Bachelor's degree in computer science or equivalent.

Responsibilities

• Data Preparation Platform: Design and deliver core components of data preparation journey to customize and fine-tune LLMs in SageMaker, designing systems that provide customers with high-quality, reliable data for their ML workflows.
• Drive Innovation in Data Preparation: Build and scale systems leveraging auto-labeling and LLM-as-Judge techniques to automatically detect, diagnose, and remediate data quality issues.
• Agent & Model Quality: Establish quality standards and evaluation frameworks for AI agents and models, implementing continuous improvement processes.
• Human-in-the-Loop Services: Lead the evolution of our HITL suite, enabling seamless human feedback loops for data labeling, annotation quality assurance, and ground truth generation.
• Technical Leadership: Mentor engineers, drive design reviews, and raise the engineering quality bar across the team. Influence technical direction without formal authority.
• Architecture & Strategy: Make high-judgment architectural decisions across distributed systems, data processing, and ML infrastructure. Own the technical roadmap for your area.

Skills

Software development

Mentorship

Education

Bachelor's degree in computer science or equivalent

Tools

LLMs

ML pipelines

Data processing systems

Job description

Amazon is hiring Sr. SDE to build an AI-powered data preparation platform in SageMaker, delivering high-quality, scalable data for ML. You will design auto-labeling, LLM-as-judge features, and human-in-the-loop workflows while collaborating with ML science teams to push AI data quality forward.

The role emphasizes architectural decisions, leadership without formal authority, and delivering secure, rock-solid software at world-class scale. Seattle-based, with AWS leadership exposure.