Carnegie Mellon University · 1 week ago
Senior Machine Learning Engineer - Mission Innovation Lab
Pittsburgh, PA
Full-time
Onsite
Senior Level
5+ years expCarnegie Mellon University is at the forefront of applied artificial intelligence research, particularly in the defense and national security sectors. They are seeking a Senior Machine Learning Engineer to lead independent applied-research projects, developing mission-scale AI capabilities and translating research into operational prototypes.
EducationHigher EducationUniversities
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design, implement, and evaluate state‑of‑the‑art ML models (computer‑vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe
Build and maintain robust data pipelines, ETL processes, and backend services in Python, C/C++, and Java
Lead rapid‑prototyping efforts, translate research results into operational prototypes, and test for performance, robustness, and security
Define and refine DevSecOps practices for ML (model registries, containerized deployment, continuous integration/continuous delivery, security scanning)
Mentor junior team members, collaborate with researchers, government customers, and other engineers, and contribute to technical strategy for the lab
Qualification
Required
B.S. in Computer Science, Electrical Engineering, Statistics, or related field with ≥10 years of experience; OR M.S. with ≥8 years; OR Ph.D. with ≥5 years of relevant experience
Ability to obtain and maintain an active Department of War security clearance
You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA
Strong experience in one or more programming language such as Python, C/C++, and Java; comfortable developing production-grade code and APIs
Solid understanding of ML theory, statistical learning, and common algorithms
Hands-on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep-learning libraries
Familiarity with CI/CD pipelines, container orchestration (Docker/Kubernetes), model versioning, and security-focused tooling
Preferred
Proven track record of independent applied-research projects that resulted in demonstrable prototypes or operational capabilities
Publications or open-source contributions in AI and ML, especially in adversarial or robust ML
Experience working on defense or other high-impact government programs
Ability to quickly learn emerging AI and ML technologies and translate them into mission-relevant solutions
Deep technical knowledge of modern ML methods and ability to extend them to novel domains
Excellent written and verbal communication skills; capable of presenting complex ideas to technical and non-technical audiences
Strong collaborative mindset; experience working in interdisciplinary teams and mentoring peers
High degree of scientific curiosity and a proactive, self-directed work style
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 and Chief Financial Officer
Amy Coutu
Assistant Vice President, Enterprise Applications
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