Description

　　How often have you had an opportunity to be a founding member of a project team that is tasked with solving a huge everyday problem through innovative technologies that transform and disrupt an entire industry?

　　If this sounds intriguing, come join Amazon Last Mile Delivery Assistance Technologies to help transform the delivery experience for customers with unprecedented quality, efficiency and scale. Each time an Amazon package is delivered, technology is at the scene and behind the scene. Today, Last Mile solutions support Amazon global business initiatives including Amazon Logistics, Amazon Flex, Amazon Lockers, etc., and its scope is expanding every day.

　　Our team is actively seeking motivated and multi-talented individuals who are passionate about transforming the logistics and package delivery operations. We are inventing the next-generation smart warehouse and smart delivery operation with cutting-edge technologies that also encompassing Wearable, Robotics, Machine Learning, etc. We develop the technology, productize the solution, operate and support the lifecycle of the products and services we deployed.

　　Our scope includes devices, sensors, hardware, and software, matching customer needs and delivery capacity with precision and efficiency, and expanding and transforming delivery experience with unprecedented quality, productivity and scale.

　　Key job responsibilities

　　As an Sr. Applied Scientist, you will research, implement and deploy scientific techniques that span the domain of Computer Vision, Machine Learning and Sensor Fusion. You will tackle challenging situations every day and have the opportunity to work with multiple technical teams at Amazon. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems.


　　A day in the life

　　On a typical day, you will research on possible approaches in the literature for a given problem or implement Computer Vision/Machine Learning algorithms that demonstrates the feasibility of an approach, or implement the same in production. In addition, scientist also periodically apply for patents, give presentations on their research to the wider scientific community and expand their influence.

　　About the team

　　We are inventing the next-generation smart delivery operation that produce a step function improvement in driver productivity matching increasing customer needs and delivery capacity, with cutting-edge tech that encompassing Wearable, Robotics, Machine Learning, integrated vehicle driver experiences.

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

　　Bellevue, WA, USA | Santa Cruz, CA, USA

　　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

　　Knowledge of programming languages such as C/C++, Python, Java or Perl

　　Experience programming in Java, C++, Python or related language

　　Experience with neural deep learning methods and machine learning

　　Preferred Qualifications

　　Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

　　Experience with large scale distributed systems such as Hadoop, Spark etc.

　　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.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.