Carnegie Mellon University's SEI AI Division is looking for a Senior Machine Learning Engineer to lead independent applied-research projects for defense-focused missions. You will be responsible for taking research ideas from concept to prototype, comfortable across the full stack, and eager to explore novel AI and ML theory while delivering mission-scale capabilities.
What You'll Do
- 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, including model registries, containerized deployment, continuous integration/continuous delivery, and security scanning.
- Mentor junior team members, collaborate with researchers, government customers, and other engineers, and contribute to the lab's technical strategy.
What We're Looking For
- A B.S. in Computer Science, Electrical Engineering, Statistics, or a related field with ≥10 years of experience; OR an M.S. with ≥8 years; OR a Ph.D. with ≥5 years of relevant experience.
- The ability to obtain and maintain an active Department of War security clearance.
- Willingness 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 languages such as Python, C/C++, and Java, with comfort developing production-grade code and APIs.
- A 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.
Nice to Have
- A 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.
- The ability to quickly learn emerging AI and ML technologies and translate them into mission-relevant solutions.
Technical Stack
- Languages: Python, C/C++, Java
- ML Frameworks: TensorFlow, PyTorch, Torch, Caffe
- Infrastructure: Docker, Kubernetes
Team & Environment
You will join the Mission Innovation Lab within the SEI’s AI Division. Our culture is creative, curious, energetic, collaborative, technology-focused, and hard-working, with a mission of making a difference by bringing innovation to government organizations and beyond.
Benefits & Compensation
- 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 a Family Concierge Team for childcare needs
- Fitness center access
Work Mode
This role is fully onsite. You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.
Carnegie Mellon University is an equal opportunity employer.
