The Opportunity:

Booz Allen's Aerospace Team is seeking a full-stack machine learning engineer to build innovative new applications and products in the defense market. As a full stack ML engineer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you’re looking for the chance to not just develop software, but to create AI systems that will make a difference, we need you on our team. We’re looking for a developer like you with an appetite to learn and the foundational skills needed to develop software, systems, train models, and push the boundary of the possible, this role is more than just coding. 

In this role, you will help build new generative AI-based products and offerings and their integration into specific client missions, both within the enterprise business context and in operational use cases. You’ll learn from and collaborate with a team of LLM, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions. 
 

You Have:  

• 2+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutions 

• Experience with leveraging ML frameworks, such as TesorFlow or PyTorch or developing ML inference pipelines in environments, such as DataBricks or AWS SageMaker 

• Experience with developing in modern front-end technologies, such as HTML, CSS, or JavaScript and front-end frameworks or libraries, such as React.js or Angular 

• Experience with back-end development using server-side languages and frameworks, such as Node.js, Python's Django or Flask, or Java's Spring Boot

• Experience with RESTful APIs and microservice architectures 

• Experience working with database management systems, SQL or NoSQL, including database design, optimization, and querying using databases, such as MySQL, PostgreSQL or MongoDB 

• Experience working with version control systems, such as Git, including branching, merging, and resolving conflicts

• Experience with code review processes and collaboration tools like GitHub or GitLab 

• Secret clearance

• Bachelor’s degree in Computer Science, Engineering, Data Science, Science, Technology, Engineering, or Mathematics 

Nice If You Have:  

• Experience working with cloud platforms, such as AWS, Azure, or GCP, including cloud native tools, such as AWS Lambda or Azure Functions 

• Experience with containerization technologies, such as Docker and container orchestrations platforms like Kubernetes

• Experience working in Agile development environments, particularly Scrum, including participating in sprint planning, stand-up meetings, backlog grooming, and retrospectives

• Knowledge of software testing principles and techniques, including unit testing, integration testing, and end-to-end testing

• Knowledge of CI/CD pipelines, including use of technologies, such as Ansible, Puppet, Chef, or Jenkins

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.