Amazon
Applied Scientist, Hardware - Design Technology
Amazon - Sunnyvale, California, United States, 94087
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Overview
Applied Scientist, Hardware - Design Technology Job ID: 2972009 | Amazon.com Services LLC
All potential candidates should read through the following details of this job with care before making an application. Amazon Lab126 is an innovative research and development company that designs and engineers high-profile consumer electronics. Since 2004, as a subsidiary of Amazon.com, Inc., we have created products like the Kindle, Fire tablets, Fire TV, and Amazon Echo.
What will you help us create? The Role: Amazon Design Technologies is a multidisciplinary team providing design software, systems platforms, and design processes to various teams including Product Development, New Technology, Operations, Retail, Footwear, Apparel, and Manufacturing. We are seeking innovative Applied Scientists passionate about leveraging advanced AI to solve complex challenges in product intelligence, data integration, and knowledge discovery. You will collaborate across Amazon to develop customer-focused solutions that impact our global customer base. Key Responsibilities:
Design and implement advanced AI models using the latest LLM and GenAI technologies to improve product understanding, matching, and categorization at scale. Collaborate with cross-functional teams to integrate AI insights into Amazon's Devices Knowledgebase. Lead the development of scalable, production-ready AI systems. Stay at the forefront of AI research, exploring and applying new techniques in LLMs, GenAI, and multimodal learning to drive innovation. Contribute to the scientific community through publications, presentations, and academic collaborations. A Day in the Life: You will work closely with business partners and engineering teams to create scalable machine learning solutions for real-world problems. Your work will involve building efficient data analysis processes, developing and validating models, and deploying solutions. You will also prepare clear reports and share knowledge to support team success. Basic Qualifications:
3+ years of experience building models for business applications. PhD or Master's degree with 4+ years of experience in CS, CE, ML, or related fields. Proficiency in programming languages such as Java, C++, Python. Experience in algorithms, data structures, parsing, optimization, data mining, or high-performance computing. Preferred Qualifications:
Experience using Unix/Linux systems. Professional software development experience. Amazon is an equal opportunity employer committed to diversity and inclusion. We consider qualified applicants regardless of veteran status, disability, or other protected categories. For applicants in Los Angeles County, duties include working safely, communicating effectively, and adhering to laws and policies, with consideration for criminal history as per local ordinances. We support an inclusive culture that empowers employees. If you need workplace accommodations, visit this link for more information. Compensation varies by location and experience, with a range of benefits. This position remains open until filled. Apply via our career site.
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All potential candidates should read through the following details of this job with care before making an application. Amazon Lab126 is an innovative research and development company that designs and engineers high-profile consumer electronics. Since 2004, as a subsidiary of Amazon.com, Inc., we have created products like the Kindle, Fire tablets, Fire TV, and Amazon Echo.
What will you help us create? The Role: Amazon Design Technologies is a multidisciplinary team providing design software, systems platforms, and design processes to various teams including Product Development, New Technology, Operations, Retail, Footwear, Apparel, and Manufacturing. We are seeking innovative Applied Scientists passionate about leveraging advanced AI to solve complex challenges in product intelligence, data integration, and knowledge discovery. You will collaborate across Amazon to develop customer-focused solutions that impact our global customer base. Key Responsibilities:
Design and implement advanced AI models using the latest LLM and GenAI technologies to improve product understanding, matching, and categorization at scale. Collaborate with cross-functional teams to integrate AI insights into Amazon's Devices Knowledgebase. Lead the development of scalable, production-ready AI systems. Stay at the forefront of AI research, exploring and applying new techniques in LLMs, GenAI, and multimodal learning to drive innovation. Contribute to the scientific community through publications, presentations, and academic collaborations. A Day in the Life: You will work closely with business partners and engineering teams to create scalable machine learning solutions for real-world problems. Your work will involve building efficient data analysis processes, developing and validating models, and deploying solutions. You will also prepare clear reports and share knowledge to support team success. Basic Qualifications:
3+ years of experience building models for business applications. PhD or Master's degree with 4+ years of experience in CS, CE, ML, or related fields. Proficiency in programming languages such as Java, C++, Python. Experience in algorithms, data structures, parsing, optimization, data mining, or high-performance computing. Preferred Qualifications:
Experience using Unix/Linux systems. Professional software development experience. Amazon is an equal opportunity employer committed to diversity and inclusion. We consider qualified applicants regardless of veteran status, disability, or other protected categories. For applicants in Los Angeles County, duties include working safely, communicating effectively, and adhering to laws and policies, with consideration for criminal history as per local ordinances. We support an inclusive culture that empowers employees. If you need workplace accommodations, visit this link for more information. Compensation varies by location and experience, with a range of benefits. This position remains open until filled. Apply via our career site.
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