Reinforcement Learning AI Engineer

Booz Allen Hamilton Holding Corporation
Colorado Springs, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Colorado Springs, United States of America

Tech stack

Artificial Intelligence
Artificial Neural Networks
C++
Cloud Computing
Nvidia CUDA
Software Design Patterns
Python
Machine Learning
Performance Tuning
PRINCE2
TensorFlow
Software Construction
Software Engineering
Systems Architecture
Reinforcement Learning
PyTorch
Gpu Programming
SC Clearance
Kubernetes

Job description

Are you an innovative and experienced artificial intelligence (AI) developer specializing in reinforcement learning? Utilize your expertise in AI, data science, and machine learning (ML) engineering to train, test, deploy, and maintain models that learn from data to drive real-world mission critical impact. You will collaborate with dynamic teams to translate reinforcement learning research into operational capability and production-grade code, bringing significant technological advancements that drive mission success.

You'll join a growing community of ML engineers focused on delivering products and solutions to our customers' most challenging problems. You'll collaborate with a team of dedicated space, military, intelligence, engineering, and AI professionals to deliver cutting-edge solutions to solve issues of national importance.

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., Machine Learning * Payments * Security * Software * Financial Services Lead UI architecture and design for responsive web applications; build reusable components with Angular/React/Vue and TypeScript/JavaScript; integrate UIs with RESTful microservices; enforce accessibility, security, testing, and CI/CD standards; mentor developers and collaborate with UX, backend, and DevOps teams in Agile environments. Top Skills: AccessibilityAngularAWSAzureCi/CdCSS3CypressGitHTML5J2EeJasmineJavaScriptJestJSONMicroservicesMongoDBPlaywrightReactRest ApisScssSingle Page ApplicationsTypescriptVueWcag/Ada Wells Fargo

Requirements

  • 3+ years of experience developing and training RL agents
  • Experience with AI, data science, ML engineering, or software engineering
  • Experience with Gym or PettingZoo interfaces
  • Experience with ML frameworks such as PyTorch, TensorFlow, or JAX
  • Experience developing technical solutions using Rust, Python, or C++
  • Knowledge of RL and artificial neural networks
  • Ability to travel up to 25% of the time
  • Secret clearance
  • Bachelor's degree in a CS, AI, or Engineering field

Nice If You Have:

  • Experience applying RL to autonomy, control systems, or mission-scale
  • Experience with MARL
  • Experience with AFSIM or other high-fidelity simulation environments
  • Experience with embedded systems programming in Rust, C, or C++
  • 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
  • Master's degree in CS, AI, Engineering, or a related field

Benefits & conditions

Be an Early Applicant In-Office Colorado Springs, CO, USA 99K-225K Annually Mid level In-Office Colorado Springs, CO, USA 99K-225K Annually Mid level Design, implement, and train reinforcement learning and multi-agent algorithms; build scalable Python-based training pipelines and simulated environments; run distributed training with cloud and container orchestration; transition models to production, optimize system performance, and collaborate with domain experts to align rewards and evaluations with mission objectives. The summary above was generated by AI, 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., 6 Hours Ago Hybrid 31K-46K Hourly Senior level 31K-46K Hourly Senior level Fintech * Financial Services Manage and grow a portfolio of small business clients by sourcing and onboarding new customers, building Centers of Influence, conducting financial and credit assessments, structuring secured and unsecured credit solutions, driving deposit growth, recommending Wells Fargo business products, managing risk and compliance, and collaborating with internal partners to deepen relationships and improve client experience. Must meet Loan Originator regulatory requirements. Top Skills: Digital BankingMobile BankingTreasury Management Wells Fargo, 6 Hours Ago Hybrid 32K-41K Hourly Junior 32K-41K Hourly Junior Fintech * Financial Services Serve as primary branch contact for consumer and small business customers: acquire and grow relationships, recommend deposit/credit/investment solutions, drive digital adoption, resolve service requests, coordinate referrals to Wealth/Home Lending/Business Banking, and maintain compliance and licensing requirements.

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

About the company

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.

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