Data Scientist - Computer Vision, Data & Machine Learning; DML

Overview

Description
:
This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.

Join a Sizeable Team Of Data Scientists, Research Scientists, And Machine Learning Engineers That Develop Computer Vision Models On Overhead Imagery For a High-impact Government Customer. We Own The Entire Machine Learning Development Life Cycle, Developing Models On Customer Data.

• Explore the data and brainstorm and prioritize ideas for model development
• Implement new features in our sizable code base
• Train models in support of experimental or performance goals
• T&E-ing, packaging, and delivering models
• Run data conversion pipelines to transform customer data into the structure needed by models for training
• Perform EDA on the customer data
• Train deep neural network models on overhead imagery
• Develop and implement hyper-parameter optimization strategies
• Test and Evaluate models and analyze results
• Package and deliver models to the customer
• Incorporate model R&D from low-side researchers
• Implement new features to the model development code base
• Collaborate with the rest of the team on long term strategy and short-medium term implementation
• Contribute to presentations to the customer regarding the team’s work

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Bachelor's degree or above in computer science, machine learning, engineering, or related fields
• Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
• Current, active US Government Security Clearance of Top Secret or above

• Master's degree or above in computer science, machine learning, engineering, or related fields
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience working on multi-team, cross-disciplinary projects
• Experience effectively communicating complex concepts through written and verbal communication
• Experience in Linux, PyTorch, and Git workflows for MLOps

Equal Opportunity Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at .

USA, VA, Arlington -  -  USD annually

USA, VA, Herndon -  -  USD annually

Company - Amazon Web Services, Inc.

Job : A3171977