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Remote Computer Science Fresh Graduate Jobs in Washington

QA Tester (Remote) Opportunity at Ace IT CareersEmbark on a rewarding career in Quality Assurance ... Computer Science, IT, or related disciplines preferred but not mandatory.Open to fresh graduates ...

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Remote Type : Full Time : We are seeking a motivated Junior Software Engineer to join our team in the DMV area. This role is ideal for a recent Computer Science graduate eager to apply their ...

Sr. Computer Vision Engineer

Herndon, VA ยท Remote

$107.50K - $147.60K/yr

... data scientist * Ph.D./Master's degree in the previously mentioned fields * Current knowledge of research literature in computer vision * Experience working with remote sensing data, ideally ...

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Remote Computer Science Fresh Graduate information

What are the key skills and qualifications needed to thrive as a Remote Computer Science Fresh Graduate, and why are they important?

To thrive as a Remote Computer Science Fresh Graduate, you need a solid foundation in programming languages, algorithms, and software development principles, typically supported by a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Jira, and cloud platforms is highly valued. Strong problem-solving abilities, self-motivation, and effective written communication are crucial soft skills for remote work success. These skills and qualities are essential to deliver high-quality work independently, collaborate efficiently with distributed teams, and adapt quickly to new challenges in a remote environment.

What are some common challenges Remote Computer Science Fresh Graduates face during their first year, and how can they overcome them?

Remote Computer Science Fresh Graduates often encounter challenges like adapting to distributed team communication, managing time effectively without in-person supervision, and bridging the gap between academic knowledge and practical coding tasks. To overcome these, it's helpful to proactively seek feedback, participate in virtual team meetings, and utilize collaboration tools like Slack or GitHub. Building a strong routine, asking questions early, and leveraging mentorship opportunities can also make the transition smoother and support your long-term growth.

What are remote computer science fresh graduates?

Remote computer science fresh graduates are individuals who have recently completed a degree in computer science and are seeking or starting entry-level positions that allow them to work from home or any location outside a traditional office. These roles typically involve tasks such as software development, web development, or IT support, and require strong technical skills gained through academic coursework or internships. Remote positions offer flexibility and the opportunity to work for companies worldwide, but may also require strong self-motivation and communication skills to collaborate effectively with distributed teams.
What are the most commonly searched types of Computer Science Fresh Graduate jobs in Washington? The most popular types of Computer Science Fresh Graduate jobs in Washington are:
What are popular job titles related to Remote Computer Science Fresh Graduate jobs in Washington? For Remote Computer Science Fresh Graduate jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Fresh Graduate jobs in Washington look for? The top searched job categories for Remote Computer Science Fresh Graduate jobs in Washington are:
What cities in Washington are hiring for Remote Computer Science Fresh Graduate jobs? Cities in Washington with the most Remote Computer Science Fresh Graduate job openings:

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA โ€ข 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.