University Machine Learning Engineer at Booz Allen Hamilton

The Opportunity

As a Machine Learning Engineer, you understand that machine learning is crucial for processing massive datasets and enhancing business processes through statistical analyses. Your technical expertise in machine learning will be pivotal in delivering customer-focused solutions. We are looking for someone with a passion for solving problems and a strong technical background to support our clients.

As a member of our team, you will train, test, deploy, and maintain models that learn from data. You’ll contribute to mission-critical solutions by applying the most suitable ML algorithms and technologies. Additionally, you’ll be part of a large community of machine learning engineers, learning and sharing knowledge to deliver top-tier solutions. Your guidance will help clients navigate the complex landscape of ML algorithms, tools, and frameworks to overcome real-world challenges and define effective ML strategies.

Join us and make a difference. The world can’t wait.

Required Qualifications

• Experience in data science, machine learning engineering, or ML research
• Proficiency in Python, Java, or C++
• Experience with SQL and other databases
• Ability to obtain a security clearance
• Scheduled to obtain a Bachelor's degree by Summer 2024

Preferred Qualifications

• Experience with full-stack development for machine learning operations
• Knowledge of natural language processing and language models
• Familiarity with AWS, Azure, and GCP

Security Clearance

Applicants selected will undergo a security investigation and must meet eligibility requirements for access to classified information. A Secret clearance is required.

Create Your Career with Booz Allen Hamilton

Grow With Us

Your growth is our priority. We offer clear career development paths through upskilling programs, tuition reimbursement, mentoring, and networking opportunities. You can develop your skills and leadership qualities in a way that suits your aspirations.

A Place Where You Belong

Diverse perspectives fuel innovation. At Booz Allen, our culture of respect, equity, and opportunity allows you to bring your authentic self to work every day. With various business resource groups and networking opportunities, you will quickly find your community here.

Support Your Well-Being

Our benefits package includes wellness programs with HSA contributions, paid holidays, parental leave, and a generous 401(k) match. We support flexible schedules, remote work, and hybrid locations to help you maintain a balanced and fulfilling personal and professional life.

Your Candidate Journey

At Booz Allen, our people are the driving force behind our success. We value building strong relationships with our candidates and have compiled resources to guide you through your journey with us.

Compensation

We celebrate your contributions with opportunities, choices, and comprehensive support for your well-being. Our benefits cover health, life, disability, financial, and retirement aspects, along with paid leave, professional development, and dependent care. We recognize exceptional performance through our awards program. Full-time and part-time employees working at least 20 hours per week are eligible for our benefits programs. Salary is determined based on factors including location, education, skills, experience, and organizational needs. The projected salary range for this position is $54,000.00 to $123,000.00 (annualized USD).

Work Model

Our people-first culture prioritizes flexibility and collaboration, whether in-person or remote. Depending on the role, you may work from a Booz Allen or client facility as needed.

EEO Commitment

We are proud to be an equal employment opportunity/affirmative action employer, empowering our employees to drive change. We welcome all candidates regardless of race, color, ethnicity, religion, sex, national origin, age, marital status, sexual orientation, gender identity, disability, veteran status, and more.

Company Name: Booz Allen Hamilton

Job Title: University Machine Learning Engineer