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Natural Language Processing Jobs in Pittsburgh, PA

Cadence

Software Engineering Intern

Pittsburgh, PA · On-site

Strongfoundation in machine learning, deep learning, and natural language processing (NLP) and LLM. * Technical Skills * Proficiency in Python and experience with frameworks like PyTorch, TensorFlow ...

Markon

Computer/Data Scientist

West Mifflin, PA

$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 ...

Markon

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 ...

Markon

Computer/Data Scientist

West Mifflin, PA

$128K - $145K/yr

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

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with ...

Pwc

AI Engineer

Pittsburgh, PA

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with ...

Alstom

AI & Test Automation Lead

Pittsburgh, PA

$46 - $62.75/hr

Applying AI/ML techniques, such as natural language processing and machine learning, to generate test cases/scripts and improve test generation accuracy., * Refining AI models or collaborating with ...

Alstom

AI & Test Automation Lead

Pittsburgh, PA · On-site

$44 - $60/hr

Applying AI/ML techniques, such as natural language processing and machine learning, to generate test cases/scripts and improve test generation accuracy., * Refining AI models or collaborating with ...

Alstom

AI & Test Automation Lead

Pittsburgh, PA

$44 - $60/hr

Applying AI/ML techniques, such as natural language processing and machine learning, to generate test cases/scripts and improve test generation accuracy., * Refining AI models or collaborating with ...

Cadence

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... and natural language processing (NLP) and LLM. • Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc. • Basic understanding of Retrieval-Augmented ...

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Natural Language Processing information

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How much do natural language processing jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for natural language processing in Pittsburgh, PA is $24.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $28.70 per hour, depending on experience, location, and employer.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are the most commonly searched types of Natural Language Processing jobs in Pittsburgh, PA?

The most popular types of Natural Language Processing jobs in Pittsburgh, PA are:

What job categories do people searching Natural Language Processing jobs in Pittsburgh, PA look for?

The top searched job categories for Natural Language Processing jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Natural Language Processing jobs?

Cities near Pittsburgh, PA with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $51,440 per year, or $24.7 per hour.

Software Engineering Intern

Cadence Design Systems Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 13 days ago

Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

34th of 246 rated software companies

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Basic Requirements:

Educational Background

  • Pursuing or recently completed a degree in Computer Science, Applied Mathematics, Data Science, or a related field.
  • Strongfoundation in machine learning, deep learning, and natural language processing (NLP) and LLM.

Technical Skills

  • Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc.
  • Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.
  • Comfortable working with LLM APIs and integrating them into applications.
  • A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.
  • Proficiency in Python is essential. C++ also valuable.

Problem-Solving & Collaboration

  • Ability to work in a fast-paced research and development environment.
  • Strong analytical thinking and debugging skills.
  • Experience with rapid prototyping in open-source AI/ML projects.
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