Hybrid Senior Machine Learning Engineer

at Carnegie Mellon University

• Job title: Senior Machine Learning Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Caffe, Docker, ETL, Java, Kubernetes, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, United States

About the role

• Machine Learning Engineer leading independent applied-research projects for defense-focused missions. Engaging with novel AI and ML technology to deliver mission-scale capabilities.

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.

Requirements

• 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.
• Strong experience in one or more programming languages 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.
• 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.

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
• much more!