Job Description

DESCRIPTION

Amazon Dash cart allows shoppers to checkout without lines you just place the items in the cart and the cart will take care of the rest. When youre done shopping, you leave the store through a designated dash lane. We charge the payment method in your Amazon account as you walk through the dash lane and send you a receipt. Check it out at https://www.amazon.com/b?ie=UTF8&node=21289116011.

Designed and custom-built by Amazonians, our Dash cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning and algorithms.

As a Machine Learning Research Infrastructure Engineer, you will help solve a variety of technical challenges and mentor other engineers. You will play an active role in building research infrastructures and pipelines for real-time machine learning and computer vision applications, and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will help invent new features, design, develop and deploy reliable distributed services. You will work with a variety of core languages and technologies.

You will tackle challenging situations every day and youll have the opportunity to work with multiple technical teams at Amazon. You should be comfortable with a degree of ambiguity thats higher than most projects and relish the idea of solving problems. Along the way, we guarantee that youll learn a ton, have fun and make a positive impact on many customers

NOTE re: LOCATION: The main location for this job is Boston metro west office. If you live in or near Boston, you can work from our Downtown Boston office few days per week.
BASIC QUALIFICATIONS

BS or MS in Computer Science or related technical field
3+ years of non-internship professional software development experience for real-time machine learning/computer vision pipeline and infrastructure
Programming experience with at least one modern language such as Java, C++, or C including object-oriented design
2+ years of experience contributing to the creation (architecture, design patterns, reliability and scaling) of new and current large-scale machine learning/computer vision pipeline and systems

PREFERRED QUALIFICATIONS

Deep understanding and 3+ years experience in designing and production of real-time machine learning/computer vision pipeline and infrastructure
Proficient in C++
Familiarity with computer vision and deep learning software and packages
Experience with AWS cloud services
Experience with Linux and real-time software development
Comfortable working in a cross-functional team and learning about new technologies

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.