Sr. SDE- ML Data Infrastructure, Frontier AI Robotics

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. About the teamAt Frontier AI & Robotics, we’re not just advancing robotics – we’re reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end‑to‑end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real‑world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon’s massive computational infrastructure and rich real‑world datasets to train and deploy state‑of‑the‑art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real‑world scenarios. We’re building systems that don’t just work in the lab, but scale to meet the demands of Amazon’s global operations. Join us if you’re excited about pushing the boundaries of what’s possible in robotics, working with world‑class researchers, and seeing your innovations deployed at unprecedented scale.

Basic Qualifications

5+ years of non‑internship professional software development experience5+ years of programming with at least one software programming language experience5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience as a mentor, tech lead or leading an engineering teamStrong software engineering background with full‑stack development experienceDeep understanding of machine learning fundamentals, particularly large‑scale model trainingExpertise in distributed systems, cloud computing, and scalable data processingExperience with data pipeline design, ETL processes, and data management systemsProficiency in translating academic concepts into production systems

Preferred Qualifications

5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor’s degree in computer science or equivalentExperience with dataset curation and quality assessment techniquesKnowledge of computer vision and multimodal data processingBackground in research environments or supporting ML research workflowsExperience with data visualization and annotation toolingFamiliarity with modern data filtering and deduplication methodologiesAmazon 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: This position includes responsibilities that require safe and cooperative work with colleagues, adherence to standards of excellence under stress, effective communication, and compliance with 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. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several U. S. geographic markets. The base pay for this position ranges from $151,300 per year in our lowest geographic market up to $261,500 per year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit position will remain posted until filled. Applicants should apply via our internal or external career site. Posted: October 28, 2025 (Updated 1 day ago)Posted: August 26, 2025 (Updated 1 day ago)Posted: January 16, 2026 (Updated 1 day ago)Posted: January 9, 2026 (Updated 1 day ago)#J-18808-Ljbffr