The Opportunity: 

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support our clients' challenges. As a machine learning engineer on our. Team, you’ll train, test, deploy, and maintain models that learn from data.   

In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of machine learning engineers across the firm and collaborate with mission experts to deliver world class solutions to deliver solutions to missing focused problems. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. 

Work with us to solve real-world challenges and define ML strategy for our clients.  

Join us. The world can’t wait. 

You Have:  

• 5+ years of experience with artificial intelligence data science, machine learning engineering, or data analytics

• 2+ years of experience with implementing, testing, and fielding automation artificial intelligence and machine learning solutions

• Experience with software and artificial intelligence projects

• Experience with a programming language, including Python, Scala, or Java

• Experience with project work in deep learning, computer vision, NLP, or signal processing

• Experience with using AI and ML frameworks, including Pytorch or Tensorflow, and multiple libraries

• Knowledge of modern software design patterns, including microservice design or edge computing

• Secret clearance

• Bachelor's degree in Computer Science or Statistics

Nice If You Have:  

• Experience working with the Department of Defense

• Experience in embedded systems programming in C, C++, or Rust

• Experience with GPU-programming, such as CUDA or RAPIDs

• Experience with modern cloud computing technologies, including Docker

• Experience with deploying applications in a Cloud environment, including AWS or Azure

• Ability to gather requirements from customers and lead Agile teams

• Master’s degree in Computer Science, Statistics, or a related field

• Amazon Certified Solutions Architect and Associate Certification

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.  

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.  

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time. 

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.  

Your Candidate Journey 

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.

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.

Work Model
Our 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.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.