Job Number: R0230277 Computer Vision AI Engineer
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.
The successful candidate 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.
Join us. The world can't wait.
You Have: - 5+ years of experience in artificial intelligence, data science, machine learning engineering, or software engineering
- Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM
- Experience in sensor fusion and target tracking
- Experience with developing technical solutions using Python, C++, or Rust
- Ability to obtain a Secret clearance
- Bachelor's degree in Science, Technology, Engineering, or Mathematics
Nice If You Have: - 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
- Master's degree in Computer Science, Artificial Intelligence, or a related field
Clearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
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 $77,500.00 to $176,000.00 (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 StatementAs part of the application process, 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.
Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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