Sr. SDE- ML Data Infrastructure, Frontier AI Robotics
Job Description
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.
Locations
- United States, CA, San Francisco, San Francisco, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
250,000 - 400,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 5+ years of non-internship professional software development experienceintermediate
- - 5+ years of programming with at least one software programming language experienceintermediate
- - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experienceintermediate
- - Experience as a mentor, tech lead or leading an engineering teamintermediate
- - Strong software engineering background with full-stack development experienceintermediate
- - Experience with data pipeline design, ETL processes, and data management systemsintermediate
- - Proficiency in translating academic concepts into production systemsintermediate
Required Qualifications
- - 5+ years of non-internship professional software development experience (experience, 5 years)
- - 5+ years of programming with at least one software programming language experience (experience, 5 years)
- - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience (experience, 5 years)
- - Experience as a mentor, tech lead or leading an engineering team (experience)
- - Strong software engineering background with full-stack development experience (experience)
- - Deep understanding of machine learning fundamentals, particularly large-scale model training (experience)
- - Expertise in distributed systems, cloud computing, and scalable data processing (experience)
- - Experience with data pipeline design, ETL processes, and data management systems (experience)
- - Proficiency in translating academic concepts into production systems (experience)
Preferred Qualifications
- - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience (experience, 5 years)
- - Bachelor's degree in computer science or equivalent (degree in computer science or equivalent)
- - Experience with dataset curation and quality assessment techniques Knowledge of computer vision and multimodal data processing (experience)
- - Background in research environments or supporting ML research workflows (experience)
- - Experience with data visualization and annotation tooling (experience)
- - Familiarity with modern data filtering and deduplication methodologies (experience)
- Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow 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. (experience)
- Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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. Dependent 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
