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Natural Language Processing Engineer Jobs in New Jersey

ADP

Senior AI Engineer

Barnegat, NJ · On-site

$111K - $152K/yr

You should have experience building models in the areas such as natural language processing, deep ... Our best engineers in this role are independent thinkers and proactive problem solvers, and as a ...

SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

Centstone

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Strong expertise in Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP ... Programming Languages: Python, Java, R (Preferred) * Frameworks: TensorFlow, PyTorch, Scikit-learn

Pwc

AI Engineer

Florham Park, NJ · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... natural language processing tools like NLTK for text analytics and sentiment analysis ...

Digital Links Inc

AI Solution Architect

Princeton, NJ · On-site

$66 - $87/hr

Princeton, NJ Programming Expertise: Strong hands-on proficiency in: Python: The primary language ... Deep understanding of AI/ML concepts, including natural language processing (NLP), deep learning ...

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Natural Language Processing Engineer information

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$50.3K

$93.4K

$144.7K

How much do natural language processing engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for natural language processing engineer in New Jersey is $93,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,600.00 and $104,600.00 per year, depending on experience, location, and employer.

What does a typical day look like for a natural language processing engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

What does a natural language processing engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

What are the key skills and qualifications needed to thrive as a natural language processing engineer?

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

What are the most commonly searched types of Natural Language Processing Engineer jobs in New Jersey? The most popular types of Natural Language Processing Engineer jobs in New Jersey are:
What are popular job titles related to Natural Language Processing Engineer jobs in New Jersey? For Natural Language Processing Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Engineer jobs in New Jersey look for? The top searched job categories for Natural Language Processing Engineer jobs in New Jersey are:
Natural Language Processing Engineer jobs near you
Infographic showing various Natural Language Processing Engineer job openings in New Jersey as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $93,420 per year, or $44.9 per hour.

Sr. Python AI/ML Engineer

NAVA Software Solutions

Morris Plains, NJ • On-site

Full-time

Re-posted 18 days ago

Job description

NAVA Software solutions is looking for a Sr. Python AI/ML Engineer
Details:
Sr. Python AI/ML Engineer
Location: Morris Plains, NJ - hybrid / 2 days in office
Duration: 6-12 months
We are seeking a highly skilled Senior Python Engineer with a strong background in AI/ML and GenAI to join our team.
  • The ideal candidate will have a deep understanding of natural language processing, machine learning, and prompt engineering, and will be able to apply their expertise to develop innovative solutions
  • Work on natural language processing and machine learning
  • Develop innovative solutions
  • Ability to work independently and as part of a team
  • Strong communication and interpersonal skills.

Required:
  • Strong proficiency in Python programming.
  • Experience with natural language processing libraries and frameworks (e.g., NLTK, spaCy, Transformers).
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Deep understanding of prompt engineering principles, best practices, and RAG concepts.
  • Familiarity with OpenAI's language models (e.g., GPT-3, GPT-4).
  • Experience with DevOps practices and tools (Orchestrator, Splunk, Dynatrace etc.)
  • Knowledge of vector stores and RAG concepts.
  • Experience with cloud platforms AWS and OpenShift.
  • Experience with vector store libraries and frameworks.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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