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Associate Machine Learning Government Jobs in Pennsylvania

The Pennsylvania State University

This team serves as the foundation for effective machine learning-building, curating, and governing ... Employees must be eligible to obtain a government security clearance, participate in the ARL drug ...

LHi Group Ltd

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

... machine learning, technically complex datasets and production-scale systems. This is an 80/20 ... across government, payments and digital assets Support teams responsible for investigations ...

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Associate Machine Learning Government information

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are the most commonly searched types of Machine Learning Government jobs in Pennsylvania?

The most popular types of Machine Learning Government jobs in Pennsylvania are:

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Cities in Pennsylvania with the most Associate Machine Learning Government job openings:

Associate Machine Learning Government jobs near you
Infographic showing various Associate Machine Learning Government job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Machine Learning Engineer - Mission Innovation Lab

Pittsburgh, PA • On-site

Software Engineering Institute | Carnegie Mellon University
See more jobs at Software Engineering Institute | Carnegie Mellon Universityexternal

$101K - $139K/yr

Full-time

Re-posted 8 days ago

Key responsibilities

  • Design, implement, and evaluate state‑of‑the‑art machine learning models such as computer vision, NLP, and planning.

  • Build and maintain data pipelines, ETL processes, and backend services in programming languages like Python, C/C++, and Java.

  • Lead rapid-prototyping efforts, translate research results into operational prototypes, and test for performance, robustness, and security.

Job description

Job Summary:
Carnegie 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.
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.
Qualifications:
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:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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