Mid Computer Vision Engineer TS/SCI Cleared Remote Sensing

Booz Allen Hamilton; Dayton (OH); Presencial; USD 69.300 - 158.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

Tuition assistance

Professional development programs

Paid leave

Descripción de la vacante

Booz Allen Hamilton is looking for a Mid-Level Computer Vision Engineer in Dayton, Ohio. The ideal candidate will design and optimize computer vision algorithms for remote sensing and GEOINT missions, contributing to systems that support national security operations.

You will collaborate with multidisciplinary teams, applying your expertise in Python or C++ and deep learning methods to drive innovations in detection and tracking capabilities. This role requires a strong background in computer vision and relevant experience in developing algorithms under real-time constraints.

Formación

• 3+ years of experience developing computer vision algorithms for detection and tracking.
• 1+ years of experience applying deep learning to CV using transformer-based architectures.
• Experience building pipelines in Python or C++ for algorithm development.

Responsabilidades

• Develop and implement computer vision algorithms for target detection and tracking.
• Build and maintain model training and deployment pipelines.
• Apply deep learning approaches to image understanding problems.

Conocimientos

Computer Vision Algorithms

Deep Learning

Python

C++

GPU Programming

Kalman Filters

Educación

Bachelor's degree in a STEM field

Herramientas

CUDA

RAPIDS

Descripción del empleo

Booz Allen Hamilton is looking for a Mid-Level Computer Vision Engineer in Dayton, Ohio. The ideal candidate will design and optimize computer vision algorithms for remote sensing and GEOINT missions, contributing to systems that support national security operations.

You will collaborate with multidisciplinary teams, applying your expertise in Python or C++ and deep learning methods to drive innovations in detection and tracking capabilities. This role requires a strong background in computer vision and relevant experience in developing algorithms under real-time constraints.