1+ months

Machine Learning Engineer - Computer Vision

Nashville, TN 37201


Operations Technology IT
We develop and deliver technology that supports Amazon Operations at worldwide scope and scale that is unparalleled. We are forming a new team focused on providing advanced image solutions that leverage both automated and semi-automated Computer Vision (CV) and Machine Learning (ML) processing techniques to provide enhanced safety, productivity, and quality controls throughout Amazon€™s global operation sites. We will be automating image capture and analysis, large data set handling, using convolutional neural networks (CNNs) for classification and segmentation of images, spatial recognition of objects/distance/velocity relationships, real time and near-term operational feedback loops and large-scale process automation. See Amazon€™s recently open sourced Distance Assistant as a good example of our work.

What You€™ll Do
As a skilled Machine Learning Engineer II, you€™ll have the opportunity to develop machine learning models based on static and dynamic unstructured data captured through Amazon€™s network of computer vision devices, and to optimize and automate model training and testing for experimentation, development, and production, all in support of use cases related to promoting associate well being, detecting process flow anomalies and preventing customer defects. You€™ll be using and honing your state-of-the-art machine learning skills daily and collaborating with cross-functional team members from multiple disciplines, including software development engineers, data scientists, system development engineers, business intelligence engineers, applied scientists and operations specialists to create new AI-driven solutions to meet challenging and meaningful problems at enormous scale.


· Bachelor€™s degree in Computer Science, Electrical Engineering, or related fields
· 4+ years of relevant professional software engineering experience
· 3+ years professional experience with data structures, algorithm design, problem solving, and complexity analysis
· 1+ years of professional Machine Learning experience
· Advanced coding and design skills in at least one modern programming language such as Java, Python, C# or C++
· Advanced functional skills with computer science fundamentals in object-oriented design, data structures, modeling, solution architecture and algorithms
· Solid background in statistical learning techniques
· Able to work both independently with negligible guidance, actively collaborate with team members and mentor junior ML engineers
· High sense of ownership, self-motivation, and desire to delight customers; obsessed with quality and customer experience


· Experience developing ML models that utilize large, unstructured data sets, such as images or video files, to automate image evaluation, classification and anomaly detection
· Experience with AWS baseline and ML services ((i.e. S3, Lambda, DynamoDB, SageMaker, Reckognition, etc.); AWS Certified ML Specialty a plus
· Experience with unsupervised or semi-supervised learning, metric learning and basis learning
· Experience in the real-time processing of high-velocity time series data
· Experience with edge inference, including model compression and cloud/device inference architectures

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.


Posted: 2020-08-10 Expires: 2020-11-08

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Machine Learning Engineer - Computer Vision

Nashville, TN 37201

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast