Overview
Full Time
Skills
CGI
Screening
Biometrics
Remote Sensing
Collaboration
Data Acquisition
Benchmarking
Research
Art
Computer Science
Electrical Engineering
FOCUS
Pattern Recognition
PyTorch
TensorFlow
Neural Network
Image Processing
Deep Learning
Python
C++
Communication
Documentation
Satellite
Algorithms
Publications
Patents
Computer Vision
Supply Chain Management
Predictive Analytics
LinkedIn
Artificial Intelligence
Job Details
Overview
BigBear.ai is seeking an experienced and highly motivated Computer Vision Engineer to join our AI Vision team. You will work on cutting-edge projects spanning threat detection, face recognition, and object detection in satellite imagery, contributing directly to the development of advanced computer vision solutions for high-impact applications.
What you will do
What you need to have
What we'd like you to have
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.
BigBear.ai is seeking an experienced and highly motivated Computer Vision Engineer to join our AI Vision team. You will work on cutting-edge projects spanning threat detection, face recognition, and object detection in satellite imagery, contributing directly to the development of advanced computer vision solutions for high-impact applications.
What you will do
- Design, implement, and optimize deep learning models for a variety of computer vision tasks
- Lead experiments and evaluations in domains such as security screening, biometrics, and remote sensing
- Collaborate with cross-functional teams on data acquisition, annotation, and model deployment pipelines
- Conduct rigorous model benchmarking and contribute to publications or patents as applicable
- Stay up to date with the latest research in computer vision and deep learning; identify opportunities to integrate state-of-the-art methods
What you need to have
- PhD in Computer Science, Electrical Engineering, or a related field, with a focus on computer vision, deep learning, or pattern recognition
- 4-5 years of post-PhD experience developing and deploying deep learning models for computer vision tasks
- Strong expertise in frameworks such as PyTorch or TensorFlow
- Proven experience with neural network architectures for detection, classification, and segmentation
- Solid understanding of image processing, classical computer vision techniques, and modern deep learning methods
- Excellent programming skills in Python; experience with C++ is a plus
- Demonstrated ability to work independently and collaboratively in fast-paced, multidisciplinary teams
- Strong communication and documentation skills
What we'd like you to have
- Experience with oriented bounding boxes, object detection in challenging domains (e.g., X-ray, satellite, or low-light imaging).
- Background in face recognition algorithms, including familiarity with loss functions like ArcFace, triplet loss, or contrastive loss.
- Publications or patents in top-tier conferences/journals related to computer vision.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.