Machine Learning Engineer, Lead
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 is critical to understanding and processing multi-modal, massive datasets. We need your technical expertise to support a diverse set of clients to include the Department of Defense (DoD) and Civilian clients.
As the senior machine learning engineer on our team, you’ll lead efforts to 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 data engineers, data scientists, data visualization developers, data architects, product owners and mission experts. You will be a senior member of a team delivering world class enterprise solutions to implement Artificial Intelligence, Automation, and data Augmentation (AAA) and cloud strategies across the DoD enterprise and civilian agencies of the U.S. federal government. This role will also include applying advanced consulting or extensive technical expertise and full industry knowledge. Develop innovative solutions to complex problems. 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 , 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:
7+ years of experience with artificial intelligence data science, machine learning engineering, or data analytics
2+ years of experience with implementing, testing, and fielding automation, artificial intelligence, and machine learning solutions
2+ years of experience deploying machine learning solutions into production using tools like Docker, GitHub Actions or GitLab CI/CD Pipeline
2+ years of experience using Spark and other technologies associated with efficiently processing Big Data
Experience with software and artificial intelligence projects
Experience with project work in deep learning, computer vision, NLP, or signal processing
Knowledge of modern software design patterns, including microservice design or edge computing
Knowledge programming language such as Python, Scala, or Java
Ability to obtain a security clearance
Bachelor's degree in Data Science, Computer Science, or Statistics
Nice If You Have:
Experience with space-based or autonomous systems
Experience working with Department of Defense
Experience in embedded systems programming in C/C++
Experience with GPU-programming, such as CUDA, RAPIDs, or similar
Experience with modern cloud computing technologies, including Kubernetes
Experience with deploying applications in a Cloud environment, including AWS or Azure
Ability to gather requirements from customers and lead Agile teams
Top Secret Clearance
Amazon Certified Solutions Architect or AWS Certified Machine Learning Specialty Certification
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
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 $121,200.00 to $275,000.00 (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.
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.
