Posted 4 days ago
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This employer did not include a short summary.
- Compensation
- $99,000 – $225,000 USD
- City
- Colorado Springs, Annapolis Junction, Aurora, Chantilly
- Country
- United States
Currency: $ (USD)
Full Job Description
Our Technology
Advanced tech. Deep domain know-how. Cutting-edge solutions engineered for impact.
- Cybersecurity Overview
- Vellox Product Suite
- Tech Ecosystem Overview
- Booz Allen Ventures
- Partnerships
Missions
Real-world missions. Real-time resultson the battlefield, at the edge, and for the nation.
- Commercial Overview
- Cyber Fusion Centers
- Cybersecurity Strategy
- Incident Response
- International Overview
- Asia Pacific
- Europe
Insights
Bold ideas. Expert takes. Breakthrough tech that actually delivered.
Careers
Whether you love solving problems, engineering ideas, or building solutions, there is a place for you at Booz Allen.
- Benefits
- Flexibility
About Us
Driven by purpose. Powered by people. Built to solve the nations toughest challenges.
- Booz Allen Foundation
- Policies
- Board of Directors
- Leadership Team
- Alumni
- Investors
- Newsroom
- Contracting
- It's In Our Code
Reinforcement Learning AI Engineer
CREATEYOUR CAREER
CREATE AND GROW WITH US
Your growth matters to us - explore our career development opportunities.
BE EMPOWERED TO SUCCEED
Connect with others in our people-first culture and enhance our collective ingenuity.
SUPPORT YOUR WELLBEING
Learn how well support you as you pursue a balanced, fulfilling life.
YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.
Job Description
Share job via:
- X
- Annapolis Junction, Maryland, USA
- Aurora, Colorado, USA
- Chantilly, Virginia, USA
The Opportunity:
Booz Allen is seeking an innovative and experienced AI developer specializing in reinforcement learning 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 translate reinforcement learning research into operational capability and production-grade code, bringing significant technological advancements that drive mission success.
Youll pioneer a growing community of machine learning engineers across the company. Youll collaborate with a team of dedicated Space, Military, Intelligence, Engineering, and AI professionals to deliver bleeding-edge solutions to solve high-priority national defense problems.
What You'll Work On:
Design, implement, and train reinforcement learning (RL) and multi-agent reinforcement learning (MARL) algorithms for complex decision-making problems.
Develop scalable training pipelines using Python and modern ML frameworks.
Build and evaluate agents in simulated environments using Gym or PettingZoo, high-fidelity simulators, or custom environments.
Apply RL techniques such as policy optimization, value-based learning, model-based RL, and imitation learning.
Collaborate with domain experts to define reward structures, constraints, and evaluation metrics aligned with mission objectives.
Implement distributed training workflows leveraging cloud compute, containerization, and orchestration technologies.
Transition trained models into production systems, following strong software engineering best practices.
Contribute to system architecture and performance optimization in Python with opportunities to extend into C++ or Rust for high-performance components.
Join us. The world cant wait.
You Have:
Experience developing and training reinforcement learning agents
Experience with Gym or PettingZoo interfaces
Experience with ML frameworks such as PyTorch, TensorFlow, or JAX
Experience with artificial intelligence, data science, machine learning engineering, or software engineering
Experience developing technical solutions using Python, C++, or Rust
Knowledge of reinforcement learning and artificial neural networks
Ability to obtain a Secret clearance
Bachelor's degree in a Computer Science, Artificial Intelligence, or Engineering field
Nice If You Have:
Experience applying RL to autonomy, control systems, or mission-scale
Experience with Multi-Agent Reinforcement Learning (MARL)
Experience with AFSIM or other high-fidelity simulation environments
Experience with embedded systems programming in C, C++, or Rust
Experience in GPU programming, including CUDA or RAPID
Experience developing in-space solutions
Knowledge of modern software design patterns, including microservice design and orchestration in Kubernetes deployment
Masters degree in Computer Science, Artificial Intelligence, Engineering, 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.
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 Allens 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 individuals 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 Allens 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.
Not ready to apply? Join our Talent Community and sign up for job alerts.
About Us
Booz Allen is an advanced technology company delivering outcomes with speed for Americas most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeedaccelerating the nation to realize our purpose: Empower People to Change the World.
If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling 1-877-927-8278 or sending an email to helpdesk@bah.com. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries.
Stay Connected with Booz Allen
INFORMATION FOR
- Employees
- International
- Investors
- Contract Officers
- Suppliers
- Small Businesses
INDUSTRIES
- Finance and Banking
- Government & Civil Agencies
- Intelligence
- Life Sciences & Healthcare
- Military
- Space
- Transportation & Logistics
- Utilities
FEATURED SOLUTIONS
- Artificial Intelligence (AI)
- Cloud
- Elite Training
- Enterprise DevSecOps
- JADC2
- Mission Readiness
- Security
ABOUT US
- About Us
- Why Booz Allen
- Who We Are
- What We Do
- Join Our Team
- Webinars & Events
SITE LINKS
- Contact Us
- Privacy Statement
- Terms of Use
- Cookie Policy
- Site Map
- Careers Privacy Policy
- INFORMATION FOR
- Employees
- International
- Investors
- Contract Officers
- Suppliers
- Small Businesses
- INDUSTRIES
- Finance and Banking
- Government & Civil Agencies
- Intelligence
- Life Sciences & Healthcare
- Military
- Space
- Transportation & Logistics
- Utilities
- FEATURED SOLUTIONS
- Artificial Intelligence (AI)
- Cloud
- Elite Training
- Enterprise DevSecOps
- JADC2
- Mission Readiness
- Security
- ABOUT US
- About Us
- Why Booz Allen
- Who We Are
- What We Do
- Join Our Team
- Webinars & Events
- SITE LINKS
- Contact Us
- Privacy Statement
- Terms of Use
- Cookie Policy
- Site Map
- Careers Privacy Policy
Cookie Settings
SIMILAR OPPORTUNITIES
No similar opportunities available at the moment.
Reinforcement Learning AI Engineer
Compensation
$99,000 – $225,000 USD
City: Colorado Springs, Annapolis Junction, Aurora, Chantilly
Country: United States
This employer did not include a short summary.
Full Job Description
Our Technology
Advanced tech. Deep domain know-how. Cutting-edge solutions engineered for impact.
- Cybersecurity Overview
- Vellox Product Suite
- Tech Ecosystem Overview
- Booz Allen Ventures
- Partnerships
Missions
Real-world missions. Real-time resultson the battlefield, at the edge, and for the nation.
- Commercial Overview
- Cyber Fusion Centers
- Cybersecurity Strategy
- Incident Response
- International Overview
- Asia Pacific
- Europe
Insights
Bold ideas. Expert takes. Breakthrough tech that actually delivered.
Careers
Whether you love solving problems, engineering ideas, or building solutions, there is a place for you at Booz Allen.
- Benefits
- Flexibility
About Us
Driven by purpose. Powered by people. Built to solve the nations toughest challenges.
- Booz Allen Foundation
- Policies
- Board of Directors
- Leadership Team
- Alumni
- Investors
- Newsroom
- Contracting
- It's In Our Code
Reinforcement Learning AI Engineer
CREATEYOUR CAREER
CREATE AND GROW WITH US
Your growth matters to us - explore our career development opportunities.
BE EMPOWERED TO SUCCEED
Connect with others in our people-first culture and enhance our collective ingenuity.
SUPPORT YOUR WELLBEING
Learn how well support you as you pursue a balanced, fulfilling life.
YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.
Job Description
Share job via:
- X
- Annapolis Junction, Maryland, USA
- Aurora, Colorado, USA
- Chantilly, Virginia, USA
The Opportunity:
Booz Allen is seeking an innovative and experienced AI developer specializing in reinforcement learning 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 translate reinforcement learning research into operational capability and production-grade code, bringing significant technological advancements that drive mission success.
Youll pioneer a growing community of machine learning engineers across the company. Youll collaborate with a team of dedicated Space, Military, Intelligence, Engineering, and AI professionals to deliver bleeding-edge solutions to solve high-priority national defense problems.
What You'll Work On:
Design, implement, and train reinforcement learning (RL) and multi-agent reinforcement learning (MARL) algorithms for complex decision-making problems.
Develop scalable training pipelines using Python and modern ML frameworks.
Build and evaluate agents in simulated environments using Gym or PettingZoo, high-fidelity simulators, or custom environments.
Apply RL techniques such as policy optimization, value-based learning, model-based RL, and imitation learning.
Collaborate with domain experts to define reward structures, constraints, and evaluation metrics aligned with mission objectives.
Implement distributed training workflows leveraging cloud compute, containerization, and orchestration technologies.
Transition trained models into production systems, following strong software engineering best practices.
Contribute to system architecture and performance optimization in Python with opportunities to extend into C++ or Rust for high-performance components.
Join us. The world cant wait.
You Have:
Experience developing and training reinforcement learning agents
Experience with Gym or PettingZoo interfaces
Experience with ML frameworks such as PyTorch, TensorFlow, or JAX
Experience with artificial intelligence, data science, machine learning engineering, or software engineering
Experience developing technical solutions using Python, C++, or Rust
Knowledge of reinforcement learning and artificial neural networks
Ability to obtain a Secret clearance
Bachelor's degree in a Computer Science, Artificial Intelligence, or Engineering field
Nice If You Have:
Experience applying RL to autonomy, control systems, or mission-scale
Experience with Multi-Agent Reinforcement Learning (MARL)
Experience with AFSIM or other high-fidelity simulation environments
Experience with embedded systems programming in C, C++, or Rust
Experience in GPU programming, including CUDA or RAPID
Experience developing in-space solutions
Knowledge of modern software design patterns, including microservice design and orchestration in Kubernetes deployment
Masters degree in Computer Science, Artificial Intelligence, Engineering, 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.
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 Allens 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 individuals 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 Allens 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.
Not ready to apply? Join our Talent Community and sign up for job alerts.
About Us
Booz Allen is an advanced technology company delivering outcomes with speed for Americas most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeedaccelerating the nation to realize our purpose: Empower People to Change the World.
If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling 1-877-927-8278 or sending an email to helpdesk@bah.com. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries.
Stay Connected with Booz Allen
INFORMATION FOR
- Employees
- International
- Investors
- Contract Officers
- Suppliers
- Small Businesses
INDUSTRIES
- Finance and Banking
- Government & Civil Agencies
- Intelligence
- Life Sciences & Healthcare
- Military
- Space
- Transportation & Logistics
- Utilities
FEATURED SOLUTIONS
- Artificial Intelligence (AI)
- Cloud
- Elite Training
- Enterprise DevSecOps
- JADC2
- Mission Readiness
- Security
ABOUT US
- About Us
- Why Booz Allen
- Who We Are
- What We Do
- Join Our Team
- Webinars & Events
SITE LINKS
- Contact Us
- Privacy Statement
- Terms of Use
- Cookie Policy
- Site Map
- Careers Privacy Policy
- INFORMATION FOR
- Employees
- International
- Investors
- Contract Officers
- Suppliers
- Small Businesses
- INDUSTRIES
- Finance and Banking
- Government & Civil Agencies
- Intelligence
- Life Sciences & Healthcare
- Military
- Space
- Transportation & Logistics
- Utilities
- FEATURED SOLUTIONS
- Artificial Intelligence (AI)
- Cloud
- Elite Training
- Enterprise DevSecOps
- JADC2
- Mission Readiness
- Security
- ABOUT US
- About Us
- Why Booz Allen
- Who We Are
- What We Do
- Join Our Team
- Webinars & Events
- SITE LINKS
- Contact Us
- Privacy Statement
- Terms of Use
- Cookie Policy
- Site Map
- Careers Privacy Policy
Cookie Settings
SIMILAR OPPORTUNITIES
No similar opportunities available at the moment.
