Computer Vision Data Scientist
US, VA, Virtual Location - Virginia
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...This position requires that the candidate selected be a U.S. citizen and obtain and maintain an active TS/SCI security clearance.
The primary responsibilities of this role are to:
· Research, design, implement and evaluate novel ML algorithms.
· Work on large-scale datasets, creating scalable, robust and accurate machine learning systems in versatile application fields.
· Work closely with account team, research scientist teams and product engineering teams to drive model implementations and new algorithms
· Interact with customer directly to understand the business problems and aid them in implementation of their ML solutions
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.
**If you have questions, wish to apply or refer someone contact Josh May directly - joshmy@amazon.com**
Basic Qualifications
· Master or PhD in computer vision/machine learning or equivalent experience.
· 3+ years of relevant experience in building production-scale system/algorithm in one of the following domains: computer vision, natural language processing, deep learning, and/or machine learning.
· Coding skills in one or more programming languages such as Python, Scala, Java, C, C+.
· 2-3 years of modeling experience working with deep learning frameworks like Pytorch or MxNet.
· Current hands-on experience with state-of-the-art object detection approaches (e.g. Faster RCNN, YOLO, CenterNet etc.)
· Understanding of deep learning CV evaluation metrics including mAP, F_beta, PR curves, etc.
Preferred Qualifications
· Broad knowledge of fundamentals and state-of-the-art in machine learning.· Familiarity deploying algorithms to AWS SageMaker or other cloud services.
· Strong written and verbal communication skills and ability to work effectively with a large, distributed team.
· Experience leveraging and augmenting collaboratively developed code bases and computer vision/machine libraries/toolkits to deliver new solutions.
· Experience working with geospatial datasets (e.g., satellite imagery, GPS data, etc.)
· Experience working with motion imagery datasets (e.g., Full Motion Video/FMV, Wide Area Motion Imagery/WAMI).
· Proven track record of innovation in creating novel algorithms and advancing the state of the art.
· Familiarity deploying solutions to IoT/edge platforms (e.g., NVIDIA Jetson Xavier).
· Experience in publishing at major computer science conferences or journals.
· Proven track record in technically leading and mentoring scientists.
This position can have periods of up to 10% travel.
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.
Tags: AWS Computer Science Computer Vision Consulting Deep Learning Engineering Machine Learning MXNet NLP Nvidia Jetson PhD Python PyTorch Research SageMaker Scala Security
Perks/benefits: Conferences Flex hours Team events
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