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Internship Natural Language Processing Engineer Jobs in Pennsylvania

Computer/Data Scientist

West Mifflin, PA · On-site

$120K - $145K/yr

Strong background in Natural Language Processing (NLP), including: * Large Language Models (LLMs) * Clustering, vectorization, and embedding methods * Tokenization and prompt engineering * Model ...

Strong background in Natural Language Processing (NLP), including: * Large Language Models (LLMs) * Clustering, vectorization, and embedding methods * Tokenization and prompt engineering * Model ...

Computer/Data Scientist

West Mifflin, PA · On-site

$120K - $145K/yr

Strong background in Natural Language Processing (NLP), including: * Large Language Models (LLMs) * Clustering, vectorization, and embedding methods * Tokenization and prompt engineering * Model ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

As a Senior Machine Learning Ops Engineer, you will bridge Data Science and Engineering to develop ... and natural language processing. Preferred : • Background in health technology and/or medical ...

AI & Test Automation Lead

Pittsburgh, PA · On-site

$44 - $60/hr

... natural language processing to generate test cases/scripts. , * Knowledge of software testing methodologies, including manual and automated testing. , * Familiarity with programming languages like ...

AI & Test Automation Lead

Pittsburgh, PA · On-site

$44 - $60/hr

... natural language processing to generate test cases/scripts. , * Knowledge of software testing methodologies, including manual and automated testing. , * Familiarity with programming languages like ...

AI & Test Automation Lead

Pittsburgh, PA · On-site

$46 - $62.75/hr

... natural language processing to generate test cases/scripts. , * Knowledge of software testing methodologies, including manual and automated testing. , * Familiarity with programming languages like ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... natural language processing. Preferred : • Background in health technology and/or medical content workflows is preferred. Company : Elsevier is a world-leading provider of information solutions ...

Showing results 41-60

Internship Natural Language Processing Engineer information

What is the difference between Internship Natural Language Processing Engineer vs Data Scientist Intern?

AspectInternship Natural Language Processing EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of NLPStatistics, programming, data analysis knowledge
Work EnvironmentTech companies, research labs, AI startupsTech firms, finance, healthcare, consulting
Employer & Industry UsageAI and NLP-focused roles in tech industryData analysis across various industries

Internship Natural Language Processing Engineer roles focus on developing NLP models and algorithms, requiring knowledge of linguistics and machine learning. Data Scientist Intern positions involve analyzing large datasets to extract insights, often requiring statistical and programming skills. Both internships are common in tech companies but serve different functions within data and AI teams.

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What cities in Pennsylvania are hiring for Internship Natural Language Processing Engineer jobs?

Cities in Pennsylvania with the most Internship Natural Language Processing Engineer job openings:

Infographic showing various Internship Natural Language Processing Engineer job openings in Pennsylvania as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Assistant AI Security Software Engineer

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 28 days ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

68th of 620 rated colleges and universities


Job description

Job Summary:
Carnegie Mellon University is seeking an Assistant AI Security Software Engineer in the CERT Division of the Software Engineering Institute. The role involves researching and developing AI security solutions, collaborating with stakeholders, and applying software engineering practices to address AI security challenges.
Responsibilities:
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Qualifications:
Required:
• BS in computer science, machine learning, cybersecurity, statistics, or related discipline.
• Understanding of software engineering principles and system design.
• Experience with containerization and microservices architectures.
• Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
• You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.
Preferred:
• Experience applying statistical modeling and advanced data analytics techniques
• Background in developing AI/ML solutions in real-world settings
• Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
• Experience and knowledge in cybersecurity best practices
• Demonstrated ability to quickly learn and adapt to new technologies and domains
Company:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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