Amazon Web Services (AWS) · 14 hours ago
Data Scientist - Computer Vision, Data & Machine Learning (DML)
Arlington, VA
Full-time
Hybrid
Mid Level
$136K/yr - $184K/yr
3+ years expAmazon Web Services (AWS) is seeking a Data Scientist specializing in Computer Vision and Machine Learning to join a sizable team. The role involves developing computer vision models on overhead imagery for a government customer, managing the entire machine learning development lifecycle, and collaborating with team members to enhance model performance and delivery.
Agentic AIConsultingDevOpsInformation TechnologySoftwareWeb Development
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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
Qualification
Required
US Citizen
Currently possess and maintain an active Top Secret security clearance
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
Preferred
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
Benefits
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
Parental leave
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Recent News
2026-01-25
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2026-01-24
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