Computer Vision Engineer

Bigbear.ai

117d

About The Position

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. At BigBear.ai, we’re solving some of the world’s most complex challenges with advanced AI, machine learning, and data analytics. As a technologist here, you’ll work on mission-critical solutions that drive real-world impact—from national security to commercial innovation. Join a team where your code, models, and ideas shape the future.

Requirements

• Must have a 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

Nice To Haves

• 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

Responsibilities

• 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 This Job Offers

• Education Level: Ph.D. or professional degree
• Number of Employees: 501-1,000 employees