Special Missions Machine Learning Engineer
Nov 15, 2023
USA, NC, Fayetteville (4200 Morganton Rd Suite 300)
Special Missions Machine Learning Engineer
As an experienced engineer, you know that machine learning (ML) 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 critical defense missions. As an ML engineer on our Chief Technology Office 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 ML engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to the special operations community. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Join us. The world can’t wait.
5+ years of experience with ML engineering, data science, research engineering, software engineering, development, or full stack engineering, including in an academic or professional environment
Experience with object-oriented programming in Java, C++, or Python
Experience with developing software architecture with containerization tools, including Docker or Kubernetes
Experience in the Special Operations community
Experience with databases, including SQL
Knowledge of data science fundamentals and methods
Bachelor's degree in Computer Science or Engineering
Nice If You Have:
5+ years of experience developing and deploying ML models into production within DoD enclaves
Experience with training models in Databricks with MLflow
Experience with Extract, Transform and Load tools, data warehousing, and data pipeline development
Experience with PostgreSQL
Experience with pandas or geopandas
Experience with visualization tools, including Tableau, Anaconda, or R Studio
Knowledge of DoD and IC domain and artificial intelligence principles and practices
Ability to deploy production application to a Cloud environment, including Google Cloud or Amazon Web Services
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 develop 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 $93,400.00 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.
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.
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.