Postdoctoral Researcher, Amazon Robotics
vor 3 Wochen
Are you passionate about advancing the field of Artificial General Intelligence (AGI)? Do you want to contribute to cutting-edge research in the intersection of classical AI reasoning and Large Language Models (LLMs)?
Amazon is seeking a talented Postdoctoral Scientist to join our AGI in Fulfillment team for a one-year, full-time research position.
As a Postdoctoral Scientist, you will work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community.
You will have the opportunity to innovate on the fundamental science of AGI, including working on combining LLMs with more classical AI task planning and AI reasoning.
Key responsibilities include:
- Collaborating with a senior science advisor and other scientists and engineers
- Publishing your innovation in top-tier academic venues
- Contributing to the development of cutting-edge techniques in your area of expertise
A day in the life of a Postdoctoral Scientist at Amazon involves working on challenging projects, collaborating with colleagues, and publishing your results in top-tier academic venues.
About the team:
The Amazon AGI for Fulfillment Team is a new science team working at the boundary between LLMs, classical AI planning and reasoning, inspired by our problems in fulfillment, automation and robotics.
We focus on high-quality research science informed by practical problems.
BASIC QUALIFICATIONS:
- PhD in a relevant field, ideally received within 2 years of starting the program
- Publication record in either LLMs, LLMs for reasoning, classical AI Reasoning, AI Planning, AI theorem proving, AI proof planning, or other related technical fields
- Experience in machine learning practice and experience of experimental analysis
- Proficiency in other relevant technologies
PREFERRED QUALIFICATIONS:
- Ability to independently deliver results in a fast-paced environment
- Publications at top-tier, peer-reviewed conferences and/or journals
- Exceptional verbal and written communication skills
- Expert knowledge in the scientific domain
- Practical skills in relevant software frameworks (e.g. Python, PyTorch/TensorFlow, LLM training, AI reasoning)
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