Amazon
Job ID: 3120037 | Amazon.com Services LLC
Amazon Web Services (AWS) is assembling an elite team of world-class scientists and engineers to pioneer the next generation of AI-driven development tools. Join the Amazon Kiro LLM-Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape.
Key Responsibilities
Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence.
Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale.
Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide.
Break new ground in AI and machine learning, challenging what's possible in intelligent code assistance.
Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP).
Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems.
About the Team The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models. We’re leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services across core AWS service categories.
Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with customers who require specialized security solutions for their cloud services.
Basic Qualifications
3+ years of building models for business application experience.
PhD or Master’s degree and 4+ years of CS, CE, ML or related field experience.
Experience in patents or publications at top-tier peer‑reviewed conferences or journals.
Programming experience in Java, C++, Python or related language.
Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.
Preferred Qualifications
Experience using Unix/Linux.
Experience in professional software development.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Amazon Web Services (AWS) is assembling an elite team of world-class scientists and engineers to pioneer the next generation of AI-driven development tools. Join the Amazon Kiro LLM-Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape.
Key Responsibilities
Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence.
Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale.
Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide.
Break new ground in AI and machine learning, challenging what's possible in intelligent code assistance.
Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP).
Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems.
About the Team The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models. We’re leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services across core AWS service categories.
Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with customers who require specialized security solutions for their cloud services.
Basic Qualifications
3+ years of building models for business application experience.
PhD or Master’s degree and 4+ years of CS, CE, ML or related field experience.
Experience in patents or publications at top-tier peer‑reviewed conferences or journals.
Programming experience in Java, C++, Python or related language.
Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.
Preferred Qualifications
Experience using Unix/Linux.
Experience in professional software development.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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