Amazon
Sr. SDE ML Data Infrastructure, Frontier AI Robotics, Frontier AI Robotics
Amazon, San Francisco, California, United States, 94199
Job ID: 3043054 | Amazon.com Services LLC
Build and maintain scalable data infrastructure to support innovative 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 Team At 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. We leverage Amazon’s massive computational infrastructure and rich real‑world datasets to train and deploy state‑of‑the‑art foundation models, spanning multimodal perception using images, videos, and sensor data to sophisticated manipulation strategies that can handle diverse real‑world scenarios. Our systems are designed to scale to meet the demands of Amazon’s global operations.
Basic Qualifications
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 (design patterns, reliability and scaling) 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
Proficiency in Python and C++
Preferred Qualifications
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
Experience with physical robots, reinforcement learning, synthetic data generation
Experience optimizing physics simulation for articulated robots and rigid body interactions
Familiarity with modern ML frameworks like PyTorch
Familiarity with 3D formats (URDF, MJCF, USD)
Familiarity with 3D content creation tools (e.g., Blender, Houdini)
Experience implementing techniques from research papers
Amazon 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: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco – $193,300.00 – $261,500.00 USD annually
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Build and maintain scalable data infrastructure to support innovative 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 Team At 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. We leverage Amazon’s massive computational infrastructure and rich real‑world datasets to train and deploy state‑of‑the‑art foundation models, spanning multimodal perception using images, videos, and sensor data to sophisticated manipulation strategies that can handle diverse real‑world scenarios. Our systems are designed to scale to meet the demands of Amazon’s global operations.
Basic Qualifications
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 (design patterns, reliability and scaling) 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
Proficiency in Python and C++
Preferred Qualifications
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
Experience with physical robots, reinforcement learning, synthetic data generation
Experience optimizing physics simulation for articulated robots and rigid body interactions
Familiarity with modern ML frameworks like PyTorch
Familiarity with 3D formats (URDF, MJCF, USD)
Familiarity with 3D content creation tools (e.g., Blender, Houdini)
Experience implementing techniques from research papers
Amazon 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: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco – $193,300.00 – $261,500.00 USD annually
#J-18808-Ljbffr