Machine Learning Engineer

The Opportunity:

Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As an experienced data professional, you know that machine learning (ML) is critical to understanding and processing massive datasets. We need your technical expertise to support federal healthcare.

As a machine learning engineer, you’ll train, test, deploy, and maintain models that learn from data. Your ability to conduct statistical analyses on business processes using ML techniques is key and makes you an integral part of delivering a customer-focused solution. 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 deliver mentorship, training, and solutions to real world problems, process data and information at a massive scale, and perform A/B testing tasks on statistical models, ML algorithms, and systems. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. If you have the drive to solve real-world challenges and define ML strategy for healthcare in the federal government, there’s a place for you here. At Booz Allen, you’ll make a difference with us, and in return, we’ll invest in your future.

Join us. The world can’t wait.

You Have:

• 2+ years of experience with data science, software engineering, ML engineering, or postdoctoral research for ML
• Experience deploying ML models
• TS/SCI clearance
• Bachelor's degree

Nice If You Have:

• Experience with natural language processing and large language models (LLM)
• Experience developing software architectures with containerization tools, including Docker and Kubernetes
• Experience with programming in Python, Java, or C++
• Experience with databases, including SQL
• Experience with ML, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches for each
• Experience with the RAG framework
• Experience with software development, including API development or database management, and model deployment and usage with JavaScript frameworks, including React, Angular, or Node.js
• Knowledge of AWS, Azure, and GCP
• Ability to work in a Linux environment with bash scripting
• 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.

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 $75,600.00 to $172,000.00 (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.

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.