Junior Machine Learning Engineer Jobs in Maryland

The Opportunity:

As an experienced machine learning engineer, you understand goodsoftware is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning(ML)enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.

On our team, you'll design, create, and implement completeAI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas likesoftware engineering, machine learning operations(MLOps), andsoftware deployment and integration into a variety of different mission environments.

Ready to transform the Defense and Intelligence sectors withsoftware systems to aid data accessibility and AI and ML operationalization?

Join us. The world can't wait.

You Have:

• 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks

• 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data

• 3+ years of experience working in cloud environments, including AWS or Azure

• 2+ years of experience using production-grade ML models using tools, such as Docker or Kubernetes

• Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex

• Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use

• TS/SCI clearance

• Bachelor's degree

Nice If You Have:

• Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM

• Experience with client engagements, client-facing project work, and business development

• Experience with project work in deep learning, computer vision, NLP, or signal processing

• Experience deploying and managing data brokering solutions, including Kafka, Red Panda, or Confluent

• Ability to adapt in a rapidly changing environment

• Possession of excellent verbal and written communication skills

• Possession of excellent interpersonal, analytical, problem-solving, and organizational skills

• TS/SCI clearance with a polygraph

• Master's degree

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 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 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.