BigBear.ai is seeking to solve some of the world’s most complex challenges with advanced AI, machine learning, and data analytics, specifically in the area of computer vision for high-impact applications such as threat detection, face recognition, and object detection in satellite imagery
Requirements
- 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
- 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
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
Other
- 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
- Demonstrated ability to work independently and collaboratively in fast-paced, multidisciplinary teams
- Strong communication and documentation skills
- BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities
