Amazon.com Services LLC
Technology
AppliedScientist,LLMCodeAgents
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, LLM Code Agents at Amazon.com Services LLC. Skills: Large language models, Generative AI, Machine learning. Push boundaries of reinforcement learning. Push boundaries of post-training methodologies”
Industry & Context.
What They're Looking For.
Must Have
3+ years building models, PhD or Master's degree, 4+ years CS/CE/ML experience, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing
Nice to Have
Experience using Unix/Linux
What You'll Do.
Push boundaries of reinforcement learning
Push boundaries of post-training methodologies
Implement ML solutions
Deploy revolutionary products
Break new ground in AI
Break new ground in machine learning
Publish pioneering work
Present pioneering work
Accelerate innovation by working with customers
Transition research breakthroughs into production
How You'll Work.
Team & Collaboration
Cross-functional teams; Research teams
Full Job Description
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 job responsibilities As a key member of our team, you'll be at the forefront of innovation, where cutting-edge research meets real-world application: - 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, empowering developers to tackle projects of any scale with unprecedented efficiency. Broadly, AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet o
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