Top 220 Applied scientist Jobs in Herndon Va

Applied AI Scientist
Vantor Inc. —Herndon, VA
- $146,000 - $244,000 a year
- Full-time
- Computer Science
- 5 years
- Research
- 401(k) matching
- Pet insurance
Quick Apply
Senior Applied Scientist, Applied AI Solutions GTM
Amazon Development Center U.S., Inc. —Herndon, VA
- $167,100 - $260,000 a year
- Full-time
- 5 years
- Master's degree
- Doctor of Philosophy
- AD&D insurance
- Health insurance
Applied Scientist, WHS Data-Tech
Amazon.com Services LLC —Arlington, VA
- $136,000 - $193,200 a year
- Full-time
- Computer Science
- Java
- Master's degree
- AD&D insurance
- Health insurance
11d
Applied Scientist, AWS Science of Security
Amazon.com Services LLC —Arlington, VA
- $142,800 - $223,400 a year
- Full-time
- Mid-level
- Analysis skills
- Doctor of Philosophy
- AD&D insurance
- Health insurance
4d
Medical Lab Scientist
UVA Community Health —Manassas, VA
- $27.04 - $45.67 an hour
- Full-time
- Mid-level
- Bachelor's degree
- Continuous improvement
Senior Data Scientist / AI Machine Learning Research Engineer
CACI —Sterling, VA
- $113,200 - $237,800 a year
- Full-time
- 7 years
- Azure
- Computer Science
- Health insurance
Applied Scientist, Talent Intelligence
Amazon.com Services LLC —Arlington, VA
- $142,800 - $193,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
11d
Clinical Laboratory Scientist
US Defense Health Agency —Bethesda, MD
- $102,415 - $133,142 a year
- Online Application
- Background check
- Pass drug screening
- Bachelor's degree
2d
Research Scientist - Signal Processing
Raytheon Technologies Corporate Headquarters —Arlington, VA
- $95,500 - $181,700 a year
- Full-time
- Computer Science
- 5 years
- Bachelor of Science
- Paid holidays
- Disability insurance
Signal and Information Processing Research Scientist
Metron —Reston, VA
- Mid-level
- Office
- Java
- Profit sharing
- Paid parental leave
AI/ML Research Scientist - Agentic Systems
Peraton —Herndon, VA
- $104,000 - $166,000 a year
- Office
- 3 years
- Master's degree
- Health savings account
- Paid holidays
Senior Scientist
ATCC —Manassas, VA
- $120,000 - $140,000 a year
- Full-time
- 5 years
- Business development
- Supervising experience
- 403(b) matching
- Paid parental leave
Quantum Scientist
The MITRE Corporation —McLean, VA
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- Doctor of Philosophy
Data Scientist (Program Officer)
US National Institutes of Health —Montgomery County, MD
- $169,279 - $197,200 a year
- Online Application
- Background check
- Computer Science
- Pass drug screening
- Flexible schedule
2d
Applied AI Scientist
Valiant Harbor International, LLC —Washington, DC
- Online Application
- Computer Science
- 5 years
- Master's degree
Senior Applied Scientist, AWS Science of Security
Amazon.com Services LLC —Arlington, VA
- $167,100 - $226,100 a year
- Full-time
- 6 years
- Master's degree
- Analysis skills
- AD&D insurance
- Health insurance
9d
Research Scientist, Demography and Survey Sciences
Meta —Washington, DC
- $210,000 - $281,000 a year
- 11+ years
- Analysis skills
- Bachelor's degree
Spectral Image Scientist
Booz Allen Hamilton —Springfield, VA
- $99,000 - $225,000 a year
- Full-time
- Microsoft Outlook
- Word processing
- Office
- Disability insurance
- Health insurance
4d
COMPUTER SCIENTIST
US Defense Threat Reduction Agency —Fort Belvoir, VA
- $169,279 - $197,200 a year
- Overtime
- Hybrid work
- Background check
- Computer Science
- Pass drug screening
12d
Formulation Scientist (Solid Orals)
Granules Pharmaceuticals —Chantilly, VA
- $100,000 - $110,000 a year
- Full-time
- Data analysis skills
- Master's degree
- Doctor of Philosophy
Quick Apply

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Applied AI Scientist

Vantor Inc. -
Herndon, VA

Quick Apply

Job Details

Full-time
$146,000 - $244,000 a year

Benefits

401(k) matching
Loan assistance
Pet insurance

Qualifications

AI models
Big data projects
Performance optimization
Automation
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Machine learning cloud services
Collaboration with product development teams
Machine intelligence
Model deployment
Developing large-scale AI models
Developing data pipelines
Scalability
Model training
Machine learning libraries
Model evaluation
Machine learning frameworks
MLOps

Full Job Description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

Responsibilities

Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence.
Build and operate end-to-end AI/ML pipelines including data ingestion, preprocessing, feature engineering, training, evaluation, and production inference.
Productionize reasoning models, vision-language models (VLMs), and multimodal AI systems that combine imagery, geospatial signals, and structured data.
Architect enterprise-grade training and experimentation frameworks, including automated pipelines, experiment tracking, benchmarking, and reproducible evaluation.
Create synthetic datasets and test harnesses to validate model performance, robustness, and edge-case behavior in real-world operational environments.
Work closely with domain experts, software engineers, product managers, and research partners to translate complex Earth intelligence challenges into deployable AI solutions.
Optimize models and inference systems for scalability, latency, cost efficiency, and reliability on modern cloud infrastructure.
Implement and maintain production inference systems, including monitoring, model versioning, retraining workflows, and performance tracking.
Stay current with the latest advances in foundation models, generative AI, multimodal learning, and reasoning systems, and translate research breakthroughs into practical systems.
Maintain high engineering standards through code reviews, documentation, experimentation discipline, and collaborative problem solving.
Help shape the next generation of Earth AI capabilities through collaboration with leading research organizations and technology partners.

Minimum Qualifications

MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field, or equivalent practical experience.
5+ years of experience building and deploying machine learning systems in production environments.
Demonstrated experience designing and delivering end-to-end ML pipelines, including data processing, training automation, evaluation frameworks, and scalable inference.
Hands-on experience developing and deploying deep learning models, particularly in one or more of the following areas:
Vision-language models (VLMs)
Multimodal learning
Reasoning models
Large language models (LLMs)
Computer vision or geospatial AI
Strong programming skills in Python, with experience using modern ML frameworks such as PyTorch, TensorFlow, or JAX.
Experience building reproducible experimentation pipelines, including model evaluation, dataset versioning, and experiment tracking.
Experience deploying models into production environments using modern cloud infrastructure and containerized systems.
Familiarity with distributed training, large-scale data processing, and model optimization techniques.
Ability to collaborate across research, engineering, and product teams to bring advanced AI capabilities into real-world applications.

Preferred Qualifications

Experience working with geospatial data, remote sensing, satellite imagery, or Earth observation systems.
Experience building or fine-tuning foundation models, multimodal models, or agentic AI systems.
Familiarity with Google Cloud Platform (GCP), including large-scale AI/ML infrastructure.
Experience implementing model monitoring, evaluation pipelines, and automated retraining systems.
Contributions to open-source AI projects, research publications, or patents.

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within Colorado is: $146,000.00 - $244,000.00 annually.

The base pay for this position within New Jersey is: $146,000.00 - $244,000.00 annually.

The base pay for this position within Delaware is: $146,000.00 - $244,000.00 annually.

The base pay for this position within the Washington, DC metropolitan area is: $161,000.00 - $269,000.00 annually.

The base pay for this position within California is: $168,000.00 - $246,400.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Quick Apply

Refine Your Search

applied scientist jobs in herndon va

Applied AI Scientist

Senior Applied Scientist, Applied AI Solutions GTM

Applied Scientist, WHS Data-Tech

Applied Scientist, AWS Science of Security

Medical Lab Scientist

Senior Data Scientist / AI Machine Learning Research Engineer

Applied Scientist, Talent Intelligence

Clinical Laboratory Scientist

Research Scientist - Signal Processing

Signal and Information Processing Research Scientist

AI/ML Research Scientist - Agentic Systems

Senior Scientist

Quantum Scientist

Data Scientist (Program Officer)

Applied AI Scientist

Senior Applied Scientist, AWS Science of Security

Research Scientist, Demography and Survey Sciences

Spectral Image Scientist

COMPUTER SCIENTIST

Formulation Scientist (Solid Orals)

I want to receive the latest job alert for applied scientist in herndon va

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