Senior Applied Scientist, Last Mile Safety Tech - Santa Cruz

Job Description

How often have you had an opportunity to be a member of a project team that is tasked with solving a huge everyday problem through innovative technologies that transform and disrupt an entire industry? The Last Mile team helps get customer packages from delivery stations to a customer’s doorstep. Amazon has grown its Last Mile delivery efforts helping to speed up customer delivery times and provide new innovations to customers. Working on the front lines of our Last Mile tech team means that you have a tangible impact on an our customer’s experience getting their package. We deliver packages (and groceries, Prime Now, 3P, and Restaurant orders) to homes, businesses, Amazon Lockers, and even cars all over the world! This network is powered by hundreds of small businesses and tens of thousands of drivers that leverage Amazon technology to deliver millions of smiles to customers each day.

Our team is actively seeking motivated and multi-talented individuals who are passionate about transforming the logistics and package delivery operations. You’ll build solutions focused on Last Mile Safety in a fast-paced, startup-like environment. As a technical leader, you’ll need to be a pragmatic visionary that can translate business needs into workable technology solutions that scale both technologically and operationally for a driver's safety. We are inventing the next-generation smart warehouse and smart delivery operation with cutting-edge technologies encompassing Machine Learning, Wearable, Robotics 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.

Basic Qualifications:

- PhD, or Master's degree and 5+ years of applied research experience
- PhD, or Master's degree in Computer Science, Robotics, Machine Learning, Computer Vision, Electrical and Computer Engineering, or a related field
- 5+ years of hands-on experience in predictive modeling and analysis
- 5+ years of building machine learning models for business application involving geospatial data and telematics signals
- 5+ years of experience applying theoretical models in an applied environment
- 5+ years hands-on experience programming in Java, Python, Perl, C/C++ or other similar programming languages
- Strong analytical, communication and data presentation skills

Preferred Qualifications:

- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Understanding of characteristics of wireless technologies, such as Wi-Fi and Bluetooth
- Understanding of characteristics of sensor and sensing technology in computer vision, inertial sensors, etc
- Peer-reviewed scientific publications in relevant fields such as geospatial data science, telematics, machine learning, or related areas in relevant conferences such as ACM SIGSPATIAL, KDD, ICASSP, IEEE INFOCOM, and ACM MOBICOM.

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 $150,400/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.