Job Number: R0202306
ML Electronic Warfare Research Engineer
The Opportunity:
As a programmer, you know that machine learning (ML) 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 the future of Electronic Warfare (EW) for the Air Force. As an ML engineer on our Aerospace 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 large community of machine learning engineers across the firm and collaborate with electrical engineers, computer scientists, and physicists to deliver world-class solutions to analyze and develop EW algorithms. Your consulting 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 the Air Force.
Join us. The world can't wait.
You Have:
2+ years of experience with statistical and general-purpose programming languages, including R, MATLAB, or Python
Experience with developing data models, quantitative analyses, and visualization of targeted data sources
Knowledge of computer vision, statistical pattern recognition, machine learning, artificial intelligence, or natural language processing
Ability to obtain a security clearance
Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field
Nice If You Have:
2+ years of experience in the development of algorithms leveraging R, Python, or MATLAB
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
2+ years of experience with dynamic programming, combinatorial optimization, or linear programming
Experience with developing deep learning algorithms using structured and unstructured data sources and frameworks, including Tensorflow or Pytorch
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Knowledge of radar, communications systems, digital signal processing, or time-series analysis
TS/SCI clearance
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.
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,
