Description

Amazon is looking for talented Postdoctoral Scientists to join our Corporate Projects team for a one-year, full-time research position.

Corporate Projects is a team that sits within the broader Corporate Development organization at Amazon. We seek to bring net-new, strategic projects to life by working together with customers and evolving projects from ZERO-to-ONE. To do so, we deploy our resources towards proofs-of-concept and pilot programs and develop them from high-level ideas (the ZERO) to tangible short-term results that provide validating signal and a path to scale (the ONE). We work with our customers to develop and create net-new opportunities by relentlessly scouring all of Amazon and finding new and innovative ways to strengthen and/or accelerate the Amazon Flywheel.

As a Postdoctoral Scientist on the Corporate Projects team, you will develop algorithms and approaches to identifying and characterizing people and objects in an FC scene. The postdoc will work across Amazon to learn about programs developing related systems take the data collected by the Toucan team in the field to create and train a vision classifier. The postdoc will collaborate with other team members to test it and refine it

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 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.

We are open to hiring candidates to work out of one of the following locations:

North Reading, MA, USA

Basic Qualifications

• PhD in a relevant field, received within 2 years of starting the program

• Proven publication record in Operations Research, Machine Learning, Robotics, Computer Vision, AI, Computer Science, Economics, or other related technical fields

• Experience in data science and quantitative research

• Proficiency in technologies relevant to the subfield

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

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

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.