Overview Join the AWS Agentic AI science team to advance autonomous agents and large-scale AI models that enable intelligent automation. You will collaborate with cross-functional groups to solve real-world problems, leverage abundant data and compute, and contribute to research that informs product development. Your work will focus on building innovative models, scaling solutions, and disseminating findings through peer-reviewed venues. This role offers impactful, hands-on research with cloud-scale impact and opportunities to shape cutting-edge AI technology.
Responsibilities- build models for business applications and real-world problems
- partner with technology and business teams to align research with product goals
- develop innovative AI solutions and deploy them in scalable systems
- publish findings at peer-reviewed conferences and workshops
- collaborate with world-class engineers and researchers to bring ideas to production
- drive research initiatives in autonomous agents, planning, and multimodal models
Key requirements- 1+ years of building models for business applications
- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
- experience in patents or publications at top-tier conferences or journals
- proficiency in Java, C++, Python or related languages
- experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- experience with autonomous agents, API orchestration, planning, large multimodal models, reinforcement learning or sequential decision making
- collaboration with cross-functional teams
- clear scientific communication
- problem-solving mindset
- autonomous agents
- API orchestration
- planning
