Carnegie Mellon University · 2 days ago
Senior Machine Learning Engineer - SAIL
Arlington, VA
Full-time
Onsite
Senior Level
5+ years expCarnegie Mellon University is seeking a Senior Machine Learning Engineer to join their SEI AI Division, which focuses on applied artificial intelligence and engineering solutions for national security. The role involves building real-world AI capabilities, conducting research on vulnerabilities of AI algorithms, and collaborating with government sponsors to develop robust AI systems.
EducationHigher EducationUniversities
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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
Qualification
Required
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
Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA
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
Company
Carnegie Mellon University
Carnegie Mellon University is a private research university that offers degrees in technology, arts, and various other fields.
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
$488.58MKey Investors
ICANNAppalachian Regional CommissioneBPF Foundation
2025-05-29Grant· $0.45M
2024-09-05Grant· $0.5M
2024-08-29Grant· $0.05M
Leadership Team
Angela Blanton
Vice President for Finance and Chief Financial Officer
Amy Coutu
Assistant Vice President, Enterprise Applications
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