Postdoctoral Research Scientist
vor 3 Wochen
We are seeking a highly skilled Postdoctoral Scientist to join our Amazon AGI (Artificial General Intelligence) in Fulfillment team for a one-year, full-time research position.
Key Responsibilities- 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.
- Publish your innovation in top-tier academic venues and hone your presentation skills.
- Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.
You'll meet with your science advisor on your ideas for the project, get guidance and feedback, work together on architectures and algorithms to achieve your goals, author papers, and understand better how science works at Amazon.
You'll work closely with other scientists to review your plans and results. You'll meet with engineers to implement the architecture, carry out training and inference.
About the TeamThe Amazon AGI for Fulfilment 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.
- 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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