Machine Learning Engineer for Electronic Warfare Research
1 week ago
Job Title: Electronic Warfare Research Engineer
Job Summary:
We are seeking a highly skilled Machine Learning Engineer to join our Aerospace team as an Electronic Warfare Research Engineer. As a key member of our team, you will be responsible for training, testing, deploying, and maintaining models that learn from data.
Key Responsibilities:
- Develop and implement machine learning algorithms and models to support the development of Electronic Warfare solutions
- Collaborate with electrical engineers, computer scientists, and physicists to deliver world-class solutions to analyze and develop EW algorithms
- Work with clients to navigate the landscape of ML algorithms, tools, and frameworks
- Contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies
Requirements:
- 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
Preferred Qualifications:
- 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
Why Booz Allen?
We offer a variety of ways for you to develop your career, including upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking. Our culture of respect, equity, and opportunity means that 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. Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more.
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