Job ID : 2595147 Amazon.com Services LLC
Amazon is looking for a talented Postdoctoral Scientist to join the Perfect Order Experience (POE) Economics team for a one-year, full-time research position.
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
In this role 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.
- 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.
Key job responsibilities
The POE Econ team builds scalable ML / AI causal solutions to enable teams to maximize their Return of Investment. The team will build a causal Foundational model which would pioneer steps at Amazon towards using Large Language Models for democratizing causal solutions and improving causal solutions' quality.
Deliverables for the Postdoctoral Scientist include proof of concept / prototype, academic publications of the methodologies, and launch of the product.
BASIC QUALIFICATIONS
- PhD in a relevant field, received within 2 years of starting the program.
- Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Operations Research, Economics, or other related technical fields.
- Experience in data science and quantitative research.
- Proficiency in technologies relevant to the sub-field.
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 modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies.
Required application materials :
- CV, which lists all peer-reviewed publications and conferences.
- Research statement that outlines your research achievements and future research interests.
- A journal article or book chapter that demonstrates your domain expertise.
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.
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