Applied Scientist, Amazon Robotics (AR)

As an Applied Scientist, you will lead and support the invention of foundation models for robotic perception and manipulation. You will collaborate with a team of scientists and engineers to develop new machine learning architectures and training methods and to adapt and fine-tune models for a variety of robotic tasks. You will work with platform teams to integrate these new models into existing and future robotic systems, evaluate their use in deployed systems, and invent new ways for these systems to improve over time. Your work and insights will help define the long-term strategy for the role of AI for computer vision and learned behaviors in Amazon’s autonomous robots.

Key job responsibilities
- Research vision - Where should we be focusing our efforts in this rapidly developing field
- Research delivery – Proving/dis-proving strategies in offline data or in the lab to maximize progress and deliver results
- Production studies - Insights from production systems and data

A day in the life
Every day you will be interacting with scientists and engineers based in Seattle, Boston, and Arlington. You will be interfacing with engineers and scientists building and deploying production systems, and you will interact with the team managing our data lake. You will be connecting the dots by finding the most effective way to exploit our data to impact production. Communication is essential, as well as making quick decisions and moving ahead as quickly as possible to try out ideas, discard the ones that don’t work, and leaning into those that do.

Amazon offers a full range of benefits that support 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
Our team is small but our ambitions are big. We are primarily focused on building perception systems using computer vision and machine learning, but our outputs are grounded in the real physical world. We move fluidly between vision, robotics, and machine learning with a large dose of vision-language foundation models in the mix. Above all, we value creativity, effective communication, and an ability to provide the insights that will move us toward our ambitious goals.

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

Seattle, WA, USA