Computer Vision AI Engineer

About the role

Booz Allen is seeking an innovative and experienced AI Developer specializing in computer vision to join our growing team for space solutions. In this role, you will leverage your expertise in AI, data science, and machine learning (ML) engineering to train, test, deploy, and maintain models that learn from data. You will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success. In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a large community of ML engineers across the company and collaborate with a team of dedicated space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time.

What You'll Work On

• Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
• Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python, C++, and Rust.
• Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications.
• Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
• Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust.

Requirements

• 4+ years of experience in sensor fusion and target tracking
• Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM
• Experience in AI, data science, ML engineering, or software engineering
• Secret clearance
• Bachelor's degree

Nice If You Have

• Experience with embedded systems programming in C, C++, or Rust
• Experience in GPU programming, including CUDA or RAPIDs
• Experience developing space solutions
• Knowledge of modern software design patterns, including microservice design and orchestration in Kubernetes deployment
• TS/SCI clearance
• Master's degree in a CS or AI field

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).