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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
• Enrolled in a PhD degree or equivalent in engineering, computer science, machine learning, statistics, physics, or related fields. • Experience in designing experiments and statistical analysis of results. • Experience in understanding and ability to implement algorithms using both toolkits and self-developed code. • Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or similar scripting language.
• Enrolled in a Ph.D. degree or equivalent in engineering, computer science, machine learning, statistics, physics, or related fields. • Familiar with the core undergraduate curriculum of computer science. • Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members. • Publications at top-tier peer-reviewed conferences or journals. • Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form. 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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