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Remote Computer Vision Postdoc Jobs in Virginia (NOW HIRING)

NT Concepts

Software Engineer

Vienna, VA · On-site +1

... robust computer vision algorithms. You will be part of a solutions-oriented, agile SCRUM team ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities:

Parsons

Principal Innovation Engineer

Reston, VA · On-site +1

Experience designing solutions for remote, austere, power-constrained, or intermittently connected ... Experience with AI/ML-enabled analytics , computer vision, anomaly detection, or intelligent ...

SAIC

AI SETA Systems Engineer

Chantilly, VA · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a AI/Ml SETA Systems ... computer vision tool portfolio, including developing technical roadmaps and the acquisition ...

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Remote Computer Vision Postdoc information

What is a remote computer vision postdoc?

A Remote Computer Vision Postdoc is a research position for individuals who have recently completed their Ph.D. and are specializing in the field of computer vision, all while working remotely. These postdoctoral researchers typically conduct advanced studies on topics such as image recognition, object detection, and machine learning algorithms, often collaborating with academic institutions or industry labs. The remote aspect allows for flexible work locations, making it possible to join international teams and contribute to projects from anywhere in the world. This role often emphasizes publishing research, developing prototypes, and contributing to open-source projects.

What are the key skills and qualifications needed to thrive as a remote computer vision postdoc?

To thrive as a Remote Computer Vision Postdoc, you need a solid background in computer vision, machine learning, and programming, typically supported by a PhD in computer science or a related field. Proficiency with deep learning frameworks (such as TensorFlow or PyTorch), coding languages like Python or C++, and experience with large-scale data processing are essential. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in collaborative, research-driven environments. These competencies ensure you can independently advance research objectives, contribute innovative solutions, and work efficiently with distributed teams.

What are some common challenges faced by remote computer vision postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges related to collaboration and access to computational resources. Since much of the work involves large datasets and high-performance computing, ensuring secure and efficient remote access to servers and data is crucial. Effective communication with mentors and team members, often across different time zones, requires proficiency with collaboration tools and proactive scheduling. To address these challenges, it can be helpful to establish regular check-ins, document workflows clearly, and leverage cloud-based platforms for data processing and code sharing.

What are the most commonly searched types of Computer Vision Postdoc jobs in Virginia?

The most popular types of Computer Vision Postdoc jobs in Virginia are:

What are popular job titles related to Remote Computer Vision Postdoc jobs in Virginia?

For Remote Computer Vision Postdoc jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Computer Vision Postdoc jobs in Virginia look for?

The top searched job categories for Remote Computer Vision Postdoc jobs in Virginia are:

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Remote Computer Vision Postdoc jobs near you

LEAD SAR DATA/IMAGERY SCIENTIST (TS/SCI Clearance required)

NorthHill Technology

Falls Church, VA • On-site, Remote

Full-time

Re-posted 8 days ago

Job description

NorthHill Technology Resources has a need for a Lead SAR Data Scientist/Imagery Scientist to join a Federal Program in Falls Church, VA.  This is a direct-hire opportunity with our client, a highly respected Federal Integrator.  A current TS/SCI Clearance is required. 

We are seeking an experienced Lead SAR Data Scientist / Imagery Scientist to join a high-performing team developing advanced solutions for complex national security and intelligence challenges.

This program focuses on evaluating artificial intelligence and machine learning models against existing government datasets to assess robustness across a wide range of adversarial scenarios. The team will also support the development and evaluation of automated algorithms capable of making operational decisions in dynamic environments.

As the Lead SAR Exploitation / Imagery Scientist, you will serve as the subject matter expert (SME) for Synthetic Aperture Radar (SAR) imagery. You will provide technical leadership in the acquisition, preparation, processing, and exploitation of SAR data, ensuring imagery meets Government quality standards and mission requirements. You will also develop solutions that account for the unique phenomenology, capabilities, and limitations of SAR sensors and collection platforms.

Required Qualifications
  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • 6+ years of experience as a SAR exploitation or imagery expert with a strong understanding of:
    • SAR collection principles
    • Radar phenomenology
    • Image formation processes
    • SAR exploitation products
  • Experience using SARPy and the MATLAB SAR Toolbox
  • Knowledge of SAR image quality assessment, including:
    • RNIIRS
    • Information-theoretic image quality metrics
    • Integrated Sidelobe Ratio (ISLR)
    • Multiplicative Noise Ratio (MNR)
  • Experience interpreting sensor metadata and understanding how collection geometry (e.g., graze angle, squint angle, azimuth) impacts SAR phenomenology
  • Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest
  • Experience developing, testing, and evaluating SAR processing algorithms, methodologies, and analytical products
  • Proficiency with advanced data processing and scientific computing tools such as Python, MATLAB, and Google Earth Engine
  • Strong understanding of remote sensing principles, imagery processing, and advanced exploitation techniques
  • Excellent written and verbal communication skills with the ability to present technical concepts to both technical and non-technical stakeholders
Preferred Qualifications
  • Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery for intelligence, defense, or remote sensing applications
  • Experience supporting AI/ML model development, validation, or operational testing using SAR datasets
Key Responsibilities
  • Evaluate emerging SAR sensor capabilities and compare performance against currently fielded collection platforms.
  • Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required for integration into operational data pipelines.
  • Determine data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
  • Design and implement preprocessing workflows to standardize imagery for labeling, analysis, and AI/ML model evaluation, including format conversion, image tiling, and geospatial normalization.
  • Identify capability gaps associated with emerging sensors and recommend complementary data sources when appropriate.
  • Assess opportunities for multi-source and coincident collections by identifying complementary imagery from additional platforms (e.g., EO/IR) with comparable geographic and temporal coverage.
  • Provide technical leadership on SAR phenomenology, exploitation methodologies, and sensor performance to support Government mission objectives.
  • Collaborate with data scientists, AI/ML engineers, and mission analysts to ensure SAR data is optimized for advanced analytics and model development.