Senior Computer Vision Engineer

What you'll do

• Design, train, and deploy computer vision and perception models for mission-critical environments.
• Build multi-sensor systems that fuse imagery, video, and other sensor data into coherent views.
• Improve the accuracy and robustness of object and environment detection across varied conditions.
• Integrate state-of-the-art machine learning algorithms into production systems for real-world use.
• Develop evaluation frameworks, datasets, and benchmarks to measure perception performance in the field.
• Identify new computer vision problems that can provide significant impact on product capabilities.

What we're looking for

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.
• 5+ years of experience developing computer vision, perception, or machine learning systems in production or advanced research settings.
• Strong experience with deep learning, object detection, and object tracking frameworks.
• Strong programming skills in Python to build reliable research and production workflows.
• Experience training, evaluating, and iterating on vision models for detection, tracking, segmentation, classification, or sensor fusion tasks.
• Experience deploying or optimizing ML systems for constrained, real-time, or edge compute environments.
• Ability to work across the full lifecycle of applied ML, from problem formulation and data strategy through deployment and performance monitoring.
• Eligible to obtain and maintain an active U.S. Secret security clearance.