Do you want to work on post-training of frontier Generative AI/Large Language Models (LLMs) to revolutionize customer service Come join the world class researchers and academics in the AWS AI endeavor and develop the science that powers countless new businesses in cloud computing!
AWS the world-leading provider of cloud services. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems have access to virtually endless data and computational resources and to world-class engineers and developers that can help bring your ideas into the world. As part of the team we expect that you will develop innovative solutions to hard problems and publish your findings at peer reviewed conferences and workshops.
The scientific topics you are going to work on include but are not limited to: LLM agent LLM post-training various capabilities particularly for reasoning and tool use.
About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
- PhD or Masters 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 - Experience programming in Java C Python or related language
- Experience using Unix/Linux - Experience in Reinforcement Learning for building agentic AI systems
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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