Kuraray America

Machine Learning Engineers at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.. Additionally, we work in generative AI and large language models, deep fake video creation and detection, data visualization, and natural language processing.. Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas, MATLAB, etc.). Expertise in one or more of the following: machine learning techniques (e.g., K-means, SVM, neural networks), data visualization, natural language processing, AI engineering, digital forgery, large language models. Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

machine learning engineer

What We Do:
Machine Learning Engineers at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cyber security professionals and university faculty to build new technologies that will influence national cyber security strategy for decades to come. You will co-author research proposals, execute studies, build models, and present findings to DoD sponsors and at academic conferences.
Our team works on a wide range of projects. Some of our current work includes experimental designs for large-scale cyber security research programs, researching human-in-the-loop machine learning, and building classifiers to identify security vulnerabilities in code. Additionally, we work in generative AI and large language models, deep fake video creation and detection, data visualization, and natural language processing. We have access to a wide variety of cyber-related data, including malware samples, netflow data, cyber security training runs and tests, incident tickets, and more. If you are a data science or statistics expert with an interest in cyber security, we want to hear from you!
Requirements:
BS in computer science, machine learning, data science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
Willingness to complete modest travel to various locations to support the SEI’s overall mission.
You will be subject to a background investigation and you must have the ability to obtain and maintain a U.S. Department of Defense security clearance.
Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.
Knowledge, Skills and Abilities:
Deep understanding of statistical modeling techniques and advanced data analytics
Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas, MATLAB, etc.)
Innovative and inquisitive with ability to imagine novel analytical solutions to problems
Expertise in one or more of the following: machine learning techniques (e.g., K-means, SVM, neural networks), data visualization, natural language processing, AI engineering, digital forgery, large language models
Thrives in a multi-disciplinary environment
Strong communication skills
Desired Experience:
Experience in predictive modeling, data science, or machine learning
Experience applying software engineering techniques in solution development
Experience in cybersecurity is a plus
Demonstrated ability to learn new concepts and grow into new areas of work
Experience or knowledge of generative AI and large language models would be beneficial, but not required
Experience supporting test and evaluation for large-scale government research programs is a plus
Location   Arlington, VA, Pittsburgh, PA   Job Function   Software/Applications Development/Engineering   Position Type   Staff – Regular   Full Time/Part time   Full time   Pay Basis   Salary   More Information:                 Please visit “   Why Carnegie Mellon  ” to learn more about becoming part of an institution inspiring innovations that change the world.
Click   here   to view a listing of employee benefits
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
Statement of Assurance

#J-18808-Ljbffr

START NEW SEARCH