Applied Scientist, Amazon Robotics
DESCRIPTION
Are you interested in how to build Artificial General Intelligence ? 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 customers better?
Amazon is looking for talented Scientists to join our Amazon Robotics Artificial General Intelligence in Fulfillment team for a one-year, full-time research position. Applied Scientist will innovate on the fundamental science of Robotics AGI, including working on combining LLMs with more classical AI task planning and AI reasoning. You will work with a team of scientists and engineers to achieve this. You will publish your results in two 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 LLMs to generate robot task plans, using AI reasoning to verify whether a plan is correct, learning state space models and learning efficient reasoning strategies. You will have access to our latest LLMs and the opportunity to work on problems that can be applied to robotics, automation and fulfillment.
Key job responsibilities
In this role you will:
• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s 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 leading-edge techniques in your area(s) of expertise.
A day in the life
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.
Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Amazon Robotics 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
- 3+ years of building models for business application experience
- PhD, or Master's 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 in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.