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Vending Machine Remote Jobs in Washington (NOW HIRING)

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

$63.25 - $84.50/hr

... to vendor lock-in. You will join our established AI and data solutions development team and ... Your focus will include Machine Learning, Natural Language Processing, Neural Networks, Large ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

... to vendor lock-in. You will join our established AI and data solutions development team and ... Your focus will include Machine Learning, Natural Language Processing, Neural Networks, Large ...

Guidehouse

GIS Leader

Mclean, VA · Remote

... vendor relationship management, and proven experience standing up communities of practice ... Identify, evaluate, and cultivate partnerships with firms specializing in GIS, remote sensing ...

Beyond SOF

Director of IT

Arlington, VA · Remote

Remote(candidate needs to be based in the US preferablyCONUS) Reports to:President of Platforms ... Manage vendor relationships, contracts, and service level agreements tooptimizecost and performance.

Marathon TS

Voice Biometrics Engineer

Alexandria, VA · Remote

The position is REMOTE Education: Bachelors Degree 5-7 years Biometrics experience Role Description ... vendors to implement and support voice biometrics solutions Required Qualifications: • Bachelor ...

CINQCARE

Senior System Analyst

Washington, DC · Remote

$75K - $100K/yr

... and vendor teams to ensure configuration aligns with business needs. · Participate in system ... Ability to work collaboratively in a remote team environment. Preferred Qualifications:

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

Implement data models, schemas, and metadata structures optimized for analytics, machine learning ... Collaborate with interagency partners, industry vendors, and integrators to align data ...

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Vending Machine Remote information

How to make $1000 a week remotely?

A vending machine remote job typically involves monitoring and managing vending machines remotely, which can generate income through commissions or service fees. To reach $1000 weekly, you may need to oversee multiple machines, optimize inventory, and ensure consistent maintenance, often requiring technical skills and reliable internet access.

What is the difference between Vending Machine Remote vs Vending Machine Technician?

AspectVending Machine RemoteVending Machine Technician
CredentialsBasic technical knowledge, remote troubleshooting skillsTechnical certifications, hands-on repair training
Work EnvironmentRemote, often from home or officeOn-site at vending machine locations
Industry UsageMonitoring and managing vending machines remotelyRepairing and maintaining vending machines physically
Search & Comparison IntentRemote management roles in vending industryOn-site repair and maintenance roles

Vending Machine Remote roles focus on remote monitoring and troubleshooting of vending machines, requiring technical knowledge and remote communication skills. In contrast, Vending Machine Technicians perform on-site repairs and maintenance, often needing hands-on technical certifications. Both roles are essential in the vending industry but differ mainly in work environment and job functions.

What are the most commonly searched types of Vending Machine jobs in Washington? The most popular types of Vending Machine jobs in Washington are:
What are popular job titles related to Vending Machine Remote jobs in Washington? For Vending Machine Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Vending Machine Remote jobs in Washington look for? The top searched job categories for Vending Machine Remote jobs in Washington are:
What cities in Washington are hiring for Vending Machine Remote jobs? Cities in Washington with the most Vending Machine Remote job openings:
Vending Machine Remote jobs near you

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 12 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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