Job Description

Remote Work:
Job Number:
Machine Learning Software Engineer, Senior

The Opportunity: 

Are you looking for an opportunity to not just develop software, but to build a system that will have a positive impact? Are you a software engineer with machine learning skills who relishes the opportunity to leverage and deploy AI models within a solution? We are looking for a software engineer who embraces real-world AI problems and relishes the opportunity to apply the latest in technology. As a ML full-stack developer, you can solve a problem with a complete end-to-end solution in a fast-paced, Agile environment. We are looking for a developer with the skills needed to build an application from vision to production-ready system. This role is more than just coding. We need a full-stack developer who will use their passion to learn new tools and techniques and identify and implement system improvements. Using the Software Development Life Cycle, you will build modern-day technical solutions with favorable technologies, including Java, JavaScript, React, Node.js, Postgres, SQL, Linux, and COTS and GOTS software frameworks. You can analyze the needs and the environment to make sure the solution you are developing considers the current architecture and operating environment, as well as future functionality and enhancements.

In an increasingly connected world, massive amounts of structured and unstructured data introduce new opportunities. These opportunities require developers capable of building the services and infrastructure necessary to realize the promise of ML and AI. As a full stack machine learning engineer, you will transform cutting edge machine learning capabilities into applications that solve global challenges. You’ll work closely with your client to understand their questions and needs, then collaborate with subject matter experts and an elite group of fellow engineers to deliver impactful solutions to the client. You’ll identify the right combination of tools and frameworks, train models, develop MLOps pipelines, and deliver robust machine learning applications that turn complex datasets into objective answers to help our military leaders make informed decisions in operational environments.

Join us. The world can’t wait. 

You Have: 

  • 3+ years of experience within data science, machine learning engineering, software engineering, or data engineering

  • Experience with software engineering and application development

  • Experience with developing software architecture with containerization tools, including Docker

  • Experience with Kubernetes orchestration and API development

  • Experience with database management, SQL, or NoSQL

  • Experience with JavaScript frameworks, including React, Angular, or Node.js

  • Knowledge of Machine Learning concepts

  • Ability to deploy production application to a Cloud environment, including Google Cloud or Amazon Web Services (AWS)

  • Secret clearance

  • Bachelor's degree

Nice If You Have: 

  • Experience with object-oriented programming in Java, Python, or C++

  • Experience with ETL tools, data warehousing, and data pipeline development

  • Experience with AWS or Az

  • Knowledge of DoD and IC domain

  • Knowledge of CI/CD practices 


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.


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 $93,300.00 to $212,000.00 (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.

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.

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