Sr. SDE- ML Data Infrastructure, Frontier AI Robotics

Amazon.com • San Francisco, CA

67d • $151,300 - $261,500

About The Position

Build and maintain scalable data infrastructure to support cutting-edge AI robotics research. Design dataset management systems including automated pipelines for data ingestion, processing, and curation. Develop visualization and inspection tools for dataset exploration and quality assessment. Research and implement state-of-the-art data filtering techniques including deduplication, quality scoring, and model-based filtering methods. Collaborate directly with science teams to support research projects through both infrastructure development and hands-on technical contribution to data preparation workflows.

Requirements

• 5+ years of non-internship professional software development experience.
• 5+ years of programming with at least one software programming language.
• 5+ years of leading design or architecture of new and existing systems.
• Experience as a mentor, tech lead, or leading an engineering team.
• Strong software engineering background with full-stack development experience.
• Deep understanding of machine learning fundamentals, particularly large-scale model training.
• Expertise in distributed systems, cloud computing, and scalable data processing.
• Experience with data pipeline design, ETL processes, and data management systems.
• Proficiency in translating academic concepts into production systems.

Nice To Haves

• 5+ years of full software development life cycle 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.
• Background in research environments or supporting ML research workflows.
• Experience with data visualization and annotation tooling.
• Familiarity with modern data filtering and deduplication methodologies.

Responsibilities

• Build and maintain scalable data infrastructure for AI robotics research.
• Design dataset management systems including automated pipelines for data ingestion, processing, and curation.
• Develop visualization and inspection tools for dataset exploration and quality assessment.
• Research and implement data filtering techniques including deduplication, quality scoring, and model-based filtering methods.
• Collaborate with science teams to support research projects through infrastructure development and technical contribution.

Benefits

• Base pay ranges from $151,300/year to $261,500/year depending on geographic market.
• Equity, sign-on payments, and other forms of compensation may be provided.
• Full range of medical, financial, and/or other benefits.

What This Job Offers

• Industry: General Merchandise Retailers
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees