Computer Vision AI Engineer
The Opportunity:
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.
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
At 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 $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.
Commitment to Non-Discrimination
All 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.
