The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:
Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.
AI and ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques.
Applied Adversarial Machine Learning: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors.
As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems.
Your day-to-day engineering tasks will include
Identifying and investigating emerging AI and AI-adjacent technologies.
Defining and refining processes, practices, and tools for working with AI.
Designing and building well-engineered prototypes of AI systems.
Transitioning and providing guidance on AI capabilities to government sponsors.
Duties
Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.
Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
Testing and evaluation. You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques.
Collaboration. You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions.
Mentoring. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.
Knowledge and Experience
Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required
A track record of using well-established engineering practices to solve difficult problems
An understanding of how to convert research results into functioning prototypes or capabilities
Experience leading technical projects in novel areas with limited previous work to build upon
Strong written and verbal communication skills; able to convey complex technical ideas in a layperson’s terms
Ample experience with publishing written or technical artifacts showcasing your work
Strong collaboration skills for working with colleagues and sponsors
Willingness to guide and mentor junior team members
Requirements
A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in with five (5) years of experience
You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.
You must be willing to work onsite at the SEI's offices in Pittsburgh, PA or Arlington, VA 5 days per week.
Willing to travel up to 25% of the time to locations outside of your home location.
Location
- 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
