The Opportunity:
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 a high-visibility Booz Allen product designed to support network analysts. As a machine learning engineer on our national security team, you’ll train, test, deploy, and maintain models that learn from data.
In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a talented team of machine learning engineers across the company and collaborate with software developers, analysts, and leaders to deliver world-class solutions to break new ground in agentic AI. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.
Work with us to solve real-world challenges and define ML strategy for national security
Join us. The world can’t wait.
You Have:
1+ years of experience within Machine Learning Engineering and Data Science
Experience developing applications using Large Language Models (LLMs)
Experience with Python
Knowledge of NNs, LSTMs, regression, tree-based models, and SVMs
Knowledge of agent planning, reasoning, and execution loops
Knowledge of context window management methods
Ability to work in a fast-paced environment in a self-directed way
Ability to obtain a TS/SCI clearance
Bachelor's degree in an AI field
Nice If You Have:
Experience with Go
Experience with software design patterns
Experience with model evaluation and AI quality metrics
Knowledge of semantic search such as vector databases and RAG
TS/SCI clearance
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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.
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 $77,600.00 to $176,000.00 (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. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Skills Required
- 1+ years of experience within Machine Learning Engineering and Data Science
- Experience developing applications using Large Language Models (LLMs)
- Experience with Python
- Knowledge of neural networks (NNs)
- Knowledge of LSTMs
- Knowledge of regression methods
- Knowledge of tree-based models
- Knowledge of support vector machines (SVMs)
- Knowledge of agent planning, reasoning, and execution loops
- Knowledge of context window management methods
- Ability to work in a fast-paced environment in a self-directed way
- Ability to obtain a TS/SCI clearance
- Bachelor's degree in an AI field
- Experience with Go
- Knowledge of vector databases, RAG, and semantic search
- Experience with software design patterns
- Experience with model evaluation and AI quality metrics
- Possession of TS/SCI clearance
Booz Allen Hamilton Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Booz Allen Hamilton and has not been reviewed or approved by Booz Allen Hamilton.
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Retirement Support — Retirement benefits are anchored by a dollar‑for‑dollar 401(k) match with immediate vesting and complemented by an employee stock purchase plan. Feedback suggests these features strengthen long‑term financial security beyond base pay.
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Healthcare Strength — Health coverage spans medical, dental, vision, life, disability, mental health, and wellness incentives, with multiple plan options. Tax‑advantaged accounts and wellness contributions further enhance the breadth of coverage.
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Leave & Time Off Breadth — Time‑off benefits include paid holidays, PTO that grows with tenure, and paid parental leave with additional unpaid time available. Flexible scheduling and remote options support work‑life balance alongside formal leave.
Booz Allen Hamilton Insights
What We Do
Booz Allen is an advanced technology company delivering outcomes with speed for America’s most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed—accelerating the nation to realize our purpose: Empower People to Change the World®.
Why Work With Us
At Booz Allen, our culture of heart and performance will fuel your growth and empower you to succeed, both inside and outside of the workplace. Discover your future career and join us. The world can't wait.
