Computer Vision AI Engineer
$99k - $225kBooz Allen Hamilton
Job Description Remote Work:
Hybrid
Job Number:
R0243369
Location:
McLean,VA,US
Share job via: Share
Additional Locations:
The Opportunity: Booz Allen Hamilton 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 artificial intelligence, data science, and machine learning 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 machine learning 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:
You Have:
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.
Hybrid
Job Number:
R0243369
Location:
McLean,VA,US
Share job via: Share
Additional Locations:
- Aurora, Colorado, USA
- Chantilly, Virginia, USA
- Colorado Springs, Colorado, USA
- Dayton, Ohio, USA
- El Segundo, California, USA
The Opportunity: Booz Allen Hamilton 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 artificial intelligence, data science, and machine learning 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 machine learning 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.
You Have:
- 7+ 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 artificial intelligence, data science, machine learning engineering, or software engineering
- Secret clearance
- Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field
- Experience with embedded systems programming in C, C++, or Rust
- Experience in GPU programming, including CUDA or RAPIDs
- Experience with developing in-space solutions
- Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
- TS/SCI clearance
- Master's degree in Computer Science, Artificial Intelligence, or a related field
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.
Vacancy posted 2 hours ago
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