> Markdown version of [/jobs/ext/1791115-member-of-technical-staff-data-platform-engineer-frontier-ai-robotics](https://www.wearedevelopers.com/jobs/ext/1791115-member-of-technical-staff-data-platform-engineer-frontier-ai-robotics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Member of Technical Staff - Data Platform Engineer, Frontier AI Robotics

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $150,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Cloud Computing, Code Review, Computer Programming, Data Deduplication, Data Infrastructure, Extract Transform Load (ETL), Data Visualization, Software Design Patterns, Distributed Systems, Machine Learning, Software Engineering, TypeScript, Data Processing, Data Ingestion, ReactJS, Kubernetes, Information Technology, Build Process, Data Management, Front End Software Development, Software Coding, Software Version Control, Data Pipelines, Programming Languages
- **Published:** July 3, 2026
- **Apply:** https://dejobs.org/x/x/4220FA4DF0054E94ACEFFC2D01951D16/job/

## About the Role

* 5+ years of non-internship professional software development experience
 * 5+ years of owning the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
 * Strong software engineering background with full-stack development experience
 * Expertise in distributed systems, cloud computing, and scalable data processing
 * Experience with data pipeline design, ETL processes, and data management systems, * Experience as a mentor, tech lead or leading an engineering team
 * 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
 * Bachelor's degree in computer science or equivalent
 * Experience with dataset curation and quality assessment techniques Knowledge of computer vision and multimodal data processing
 * Deep understanding of machine learning fundamentals, particularly large-scale model training
 * Background in research environments or supporting ML research workflows
 * Experience with data visualization and annotation tooling
 * Familiarity with modern data filtering and deduplication methodologies
 * Proficiency in translating academic concepts into production systems

## Description

In this role you will build and maintain the data infrastructure that powers our robotics manipulation research. You'll work alongside our existing team of platform engineers to extend the systems that turn raw robot session data into curated, trainable episodes. This team owns streaming ingestion pipelines, platform and schema design, heterogeneous data sources, data curation and quality controls, full-stack inspection and dataset-builders that researchers and human annotators actually use, and tools to let scientists go from dataset to training job without leaving the platform. We run on a modern cloud-native stack - distributed compute on Kubernetes, streaming data infrastructure, columnar lakehouse storage, and a TypeScript/React frontend. We're looking for engineers willing and eager to work on the full stack in a fast iteration cycle while working with researchers as close customers.

What matters is that you can ship full-stack data infrastructure real users depend on, treat researchers as collaborators rather than customers, and have a strong bias toward iteration in a flat org where engineers pick up science-driven work directly instead of waiting for approval layers.


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