Job Description

DESCRIPTION

We are seeking an experienced Applied Scientist to develop innovative perception and machine learning solutions for robot workcells in Amazon Fulfillment centers. In this role, you will leverage advanced sensor technologies including radar and RGBD sensing to develop and implement state-of-the art ML models to enable safe partnership between human workers and robotic arms. Your solutions will allow Amazon to increase productivity and efficiency while prioritizing employee safety.

Key job responsibilities
* Be an expert in short-ranged radar sensing modality and algorithms for human-scale objects.
* Design and implement advanced machine learning models for perception tasks such as object detection, pose estimation and scene comprehension
* Optimize and deploy the ML models on edge devices
* Build and test prototype robotic workcell setups to validate the performance of the solution
* Work cross-functionally with teams to provide inputs and recommendations for the optimal sensor suite to enable a robust solution
*Partner with Amazon's robotics engineering and operations teams to grasp 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. 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

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- 3+ years of building machine learning models or developing algorithms for business application experience
- Experience applying theoretical models in an applied environment

Job Tags

Full time, Temporary work, Seasonal work,

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