The research work for this position will explore generalization of imitation learning based policies on novel hardware platforms. This will include exploring alternative representations and foundation models. The candidate will prototype algorithms in simulation and then deploy promising solutions to real and novel hardware.
Key job 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.
We are open to hiring candidates to work out of one of the following locations:
Cambridge, MA, USA | North Reading, MA, USA
BASIC QUALIFICATIONS
• PhD in a relevant field, received within 2 years of starting the program
• Proven publication record in Manipulation and Gasp Learning
• Publications in related topics in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Reinforcement Learning or other related technical fields
• Experience in data science and quantitative research
• Proficiency in technologies relevant to the subfield
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, and
• 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.