Amazon Web Services (AWS) · 23 hours ago
Data Scientist - Computer Vision, Data & Machine Learning (DML)
Arlington, VA
Full-time
Onsite
Mid Level
$136K/yr - $184K/yr
3+ years expAmazon Web Services (AWS) is a leading cloud services provider, and they are seeking a Data Scientist to join their team. The role involves developing computer vision models on overhead imagery for government customers, managing the entire machine learning development life cycle, and collaborating with team members on various tasks.
Artificial Intelligence (AI)Cloud ComputingConsultingSoftwareInformation TechnologyAgentic AIDevOpsWeb Development
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
With Support From Technical Leads, Carry Out Tasking Across The Entire Machine Learning Development Lifecycle To Develop Computer Vision Models On Overhead Imagery
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
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
Bachelor's degree or above in computer science, computer engineering, or related field
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
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
Knowledge of machine learning concepts and their application to reasoning and problem-solving
Experience in a ML or data scientist role with a large technology company
Experience working on multi-team, cross-disciplinary projects
Master's degree or above in computer science, machine learning, engineering, or related fields
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
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