Computer Vision AI Engineer
The Opportunity:

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.

Join us. The world can't wait.

You Have:

• 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 in a STEM field

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

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.