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

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 sizable 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.

We explore the data, brainstorm and prioritize ideas for model development, implement new features in our sizable code base, train models in support of experimental or performance goals, and T&E (test & evaluate) packaging and delivering models.

We perform this work on both unclassified and classified networks, with portions of our team working on each network. We seek a new team member to work primarily on the unclassified network. You will collaborate with teammates, use and contribute to a well‑maintained code base almost entirely in Python, and have opportunities for learning and ownership of important project workflows. Tools include Jupyter notebooks, the Linux command line, AWS services, Git Lab, and Visual Studio Code.

We are a very collaborative team, regularly teaching and learning from each other; if you are familiar with some of these technologies but not others, we encourage you to apply.

• 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.

• 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, Sage Maker, EMR, Kinesis, Lambda, and EC2.
• Current, active US Government Security Clearance of Top Secret or above.

• 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.

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

Amazon Web Services, Inc.

Job : A3178354