We are seeking an experienced Senior Applied Scientist to advance the state of the art in ML-based planning for robotic workcells in Amazon Fulfillment centers. In this role, you will work across multiple teams to develop the next generation of robots which can be applied to a variety of use cases. Your solutions will allow Amazon to increase productivity and efficiency while prioritizing employee safety.

Key job responsibilities
- Design, adapt and implement advanced machine learning models ( including foundation models) for motion planning of manipulation robots
- Build and test prototype robotic workcell setups to validate the performance of the solution
- Partner with cross-functional teams to rapidly create new concepts and prototypes
- Work with Amazon's robotics engineering and operations teams to understand their requirements and develop tailored solutions
- Document the architecture, performance, and validation of the final system

A day in the life
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!

BASIC QUALIFICATIONS

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Deep experience in motion planning for manipulation robots

PREFERRED QUALIFICATIONS

- Experience in creating , adapting or integrating foundation models with robots
- Practical experience with modern robotics frameworks like ROS 2 and Gazebo

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.