Applied Scientist, Amazon Robotics
Role overview
Are you interested in how to build AI reasoning systems that give provably correct answers? Are you excited by science at the interface of classical AI reasoning and Large Language Models (LLMs)? Would you like to apply your technology to serve operations customers better?
Amazon Robotics is looking for a talented Applied Scientist. You will innovate on combining language models (LMs) with classical AI reasoning. You will work with a team of scientists and engineers to achieve this. You will publish your results in papers at leading venues in AI. You will be part of a larger team and have the opportunity to work on problems such as: using LMs to generate plans, using AI reasoning to verify plan correctness, learning efficient reasoning strategies, self-improving models. You will work on basic science and on business problems in robotics, automation and fulfillment across our operations.
Responsibilities
- check_circle Work closely with other scientists and engineers, and be part of Amazon’s diverse global science community.
- check_circle Publish your research in top-tier academic venues and hone your presentation skills.
- check_circle Be inspired by challenges and opportunities to invent new techniques in your area(s) of expertise.
Basic qualifications
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience implementing algorithms using toolkits and self-developed code
- PhD or equivalent research experience, or a Master's degree and experience in CS, CE, ML or related field research
- Publication record in top tier venues in generative AI reasoning or classical planning
- Experience in reinforcement learning or neuro-symbolic AI
- Practical experience with PyTorch, the HuggingFace ecosystem, SageMaker, and RL tools
Preferred qualifications
- Experience using Unix/Linux
- Experience in professional software development
- Experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications, or experience in software development and experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience using AWS tools and services - including AWS batch, Boto, S3, EC2 etc
- Strong skills in experimental design/statistical analysis
Tags & Focus Areas
About Amazon.com
Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You wi...
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