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Senior Software Development Engineer - Machine Learning Data InfrastructureAmazon • United States
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Senior Software Development Engineer - Machine Learning Data Infrastructure

Amazon
  • US
    United States
  • US
    United States
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Über

Join our cutting-edge team focused on revolutionizing robotics and AI. As a Senior Software Development Engineer, you will be essential in building and maintaining robust data infrastructures that are critical for advanced AI robotics research. Take charge of designing and managing dataset systems with automated data ingestion, processing, and curation pipelines. Develop innovative visualization and inspection tools to enhance dataset exploration and quality assessment. Your role will involve researching and implementing state-of-the-art data filtering techniques, such as deduplication, quality scoring, and model-based filtering methods. Collaborate with scientific teams to directly contribute to research projects by developing infrastructure and providing hands-on support in data preparation workflows. About Our Team At Frontier AI & Robotics, we are redefining robotics with our ambitious research vision and practical applications. Our team addresses complex challenges in AI and robotics, creating intelligent systems that excel beyond the lab and scale effectively for Amazon's global operations. If you are passionate about pushing the boundaries of robotics, collaborating with top-tier researchers, and deploying impactful innovations, we want to hear from you! BASIC QUALIFICATIONS 5+ years of professional software development experience 5+ years of proficiency in at least one programming language 5+ years of experience designing or architecting new and existing systems Experience mentoring or leading a technical team Strong software engineering background with full-stack development experience Deep understanding of machine learning fundamentals, especially large-scale model training Expertise in distributed systems, cloud computing, and scalable data processing Experience designing data pipelines and managing ETL processes Ability to translate academic concepts into production-ready systems PREFERRED QUALIFICATIONS 5+ years across the entire software development life cycle Bachelor's degree in computer science or a related field Experience with dataset curation and quality assessment methods Knowledge in computer vision and multimodal data processing Experience in research environments or supporting ML research workflows Familiarity with data visualization and annotation tools Understanding of modern data filtering and deduplication techniques Amazon is an equal opportunity employer. Our employees are empowered to deliver exceptional results for our customers. If you require special accommodations during the application or interview process due to a disability, please inform us.
Location:
This position is located in Los Angeles County, and applicants must adhere to the local employment laws. Compensation:
The base pay for this position ranges from $151,300/year to $261,500/year, depending on various factors such as geographic market and individual experience. We offer competitive benefits, including equity options and other forms of compensation as part of our total package.
  • United States

Sprachkenntnisse

  • English
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