Senior Machine Learning Engineer - Mission Innovation Lab

Carnegie Mellon University

Actively hiring
Pittsburgh, PA · Arlington, VA Posted 10 days ago
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At a glance

AI generated

TL;DR

Join our SEI AI Division as a senior Machine Learning Engineer leading independent research projects for defense-focused missions. You will design, implement, and evaluate state-of-the-art ML models using frameworks like TensorFlow and PyTorch, build robust data pipelines in Python and C/C++, and lead rapid prototyping efforts while ensuring secure deployment practices. Key responsibilities include defining DevSecOps strategies, mentoring junior team members, and collaborating with researchers and government customers to deliver mission-scale capabilities. Ideal candidates have extensive experience in ML theory, statistical learning, and hands-on work with deep-learning libraries, along with a strong background in programming languages such as Python and Java. Familiarity with CI/CD pipelines, container orchestration tools like Docker and Kubernetes, and security-focused tooling is essential. This role requires a proactive mindset, excellent communication skills, and the ability to quickly adapt to emerging AI technologies while working on high-impact government programs.

Skills

Python TensorFlow PyTorch CI/CD Kubernetes Docker Java C/C++ DevSecOps Mentorship

What you'll do

  • Design and implement state-of-the-art ML models using TensorFlow, PyTorch, or similar frameworks.
  • Build and maintain robust data pipelines and backend services in Python, C/C++, and Java.
  • Lead rapid prototyping efforts to translate research into operational prototypes for defense missions.
  • Define and refine DevSecOps practices for secure deployment of machine learning models.
  • Mentor junior team members and contribute to the technical strategy of the Mission Innovation Lab.

What we're looking for

  • 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.
  • Strong hands-on experience with TensorFlow, PyTorch, Torch, Caffe, and other deep-learning libraries.
  • Solid understanding of ML theory, statistical learning, and common algorithms.
  • Expertise in developing production-grade code and APIs using Python, C/C++, or Java.
  • Familiarity with CI/CD pipelines, container orchestration (Docker/Kubernetes), model versioning, and security-focused tooling.
  • Ability to obtain and maintain an active Department of War security clearance.

Market check

Salary context

This listing doesn't show a salary. Similar roles on FindRole typically pay $171,700–$262,400.

Peer median band

$171,700–$262,400

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$181,758–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Carnegie Mellon University

Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research

Carnegie Mellon University currently has 36 open roles on FindRole.

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