Artificial Intelligence and Machine Learning Engineer

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 the national security mission. As a machine learning engineer on our advanced technologies 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 a technical team to deliver world-class solutions to develop intelligent algorithms capable of learning, analyzing, and predicting future events, turning those algorithms into AI models and systems, and then testing and maintaining them. 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 national security mission partner.

Join us. The world can't wait.

You Have:

• Experience developing intelligent algorithms capable of learning, analyzing, and predicting future events, turning those algorithms into AI models and systems, and then testing and maintaining them
• Experience using large data sets to research, develop, and generate algorithms that can learn, assess, analyze, and organize data, execute tests, and optimize the learning process to help develop high-performance ML models
• Ability to work collaboratively with a technical team on highly complex problems
• TS/SCI clearance with a polygraph
• Bachelor's degree in an Engineering field and 7+ years of experience developing, testing, and tuning algorithms, or Master's degree in an Engineering field and 5+ years of experience developing, testing, and tuning algorithms

Nice If You Have:

• Experience with Agile methodology
• Knowledge of National Space constellation and systems

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

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.

Identity Statement

As part of the application process, 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.

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.