Machine Learning Engineer – Secure AI Lab
Carnegie Mellon University
full-time
Posted on:
Location Type: Hybrid
Location: Pittsburgh • Pennsylvania • Virginia • United States
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Tech Stack
About the role
- As an Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.
- 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.
- 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.
- Conducting rapid prototyping to demonstrate and evaluate technologies in relevant environments.
- Evaluating systems for performance and security.
- Actively participating on teams of developers, researchers, designers, and technical leads.
- Mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.
Requirements
- A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with eight (8) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in a relevant discipline with two (2) years of experience.
- Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.
- You will be subject to a background investigation and must be able to obtain and maintain an active Department of War security clearance.
- Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.
- 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.
Benefits
- comprehensive medical, prescription, dental, and vision insurance
- generous retirement savings program with employer contributions
- tuition benefits
- ample paid time off and observed holidays
- life and accidental death and disability insurance
- free Pittsburgh Regional Transit bus pass
- access to our Family Concierge Team to help navigate childcare needs
- fitness center access
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningadversarial machine learningprototypingperformance evaluationsecurity evaluationPythonC/C++JavaTensorFlowPyTorch
Soft Skills
communication skillscollaboration skillsmentoringleadershipproblem-solvingtechnical guidanceteam participationdesign sessionsinsight sharingwritten communication