
Data and Machine Learning Engineer - Vision Language Models, Data & Machine
Amazon Web Services (AWS)Role Overview
Amazon Web Services (AWS) is hiring a mid-level Data and Machine Learning Engineer - Vision Language Models, Data & Machine. This is a full-time role in Herndon. Part of Amazon Web Services (AWS)'s Lifecycle hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
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 Vision Language Models (VLMs) On Overhead Imagery For a High-impact Government Customer. We Own The Entire Machine Learning Development Life Cycle, Developing Models On Customer Data
- Exploring the data and brainstorming and prioritizing ideas for model development
- Implementing new features
- Training models in support of experimental or performance goals
- T&E-ing, 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 on the classified networks. You would work collaboratively with teammates to develop and use a python codebase for fine-tuning VLMs.
You would have great opportunities to learn from team members and technical leads, while also having opportunities for ownership of important project workflows. You would work with Jupyter Notebooks, the Linux command line, GitLab, and Visual Studio Code.
Key job responsibilities
With Support From Technical Leads, Carry Out Tasking Across The Entire Machine Learning Development Lifecycle To Fine-tune VLMs 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 VLMs 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 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.
Basic Qualifications
- 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
- Current, active US Government Security Clearance of Top Secret or above
Preferred Qualifications
- 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
- Knowledge of Linux, PyTorch, and Git workflows for computer vision requirements
- Experience developing visual language models leveraging satellite imagery
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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.
USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually
USA, VA, Herndon - 136,000.00 - 184,000.00 USD annually
Company - Amazon Web Services, Inc.
Job ID: A3173014
Frequently Asked Questions
How do I apply for the Data and Machine Learning Engineer - Vision Language Models, Data & Machine position at Amazon Web Services (AWS)?
Use the Apply button above to submit your application directly to Amazon Web Services (AWS). Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data and Machine Learning Engineer - Vision Language Models, Data & Machine position at Amazon Web Services (AWS) located?
This position is based in Herndon. Amazon Web Services (AWS) has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data and Machine Learning Engineer - Vision Language Models, Data & Machine at Amazon Web Services (AWS) earn?
Amazon Web Services (AWS) has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data and Machine Learning Engineer - Vision Language Models, Data & Machine role at Amazon Web Services (AWS) posted?
This role was posted on April 2, 2026 (67 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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