ZipRecruiter

Log In

1

Natural Language Processing Engineer Jobs in New Jersey

Wise Skulls llc

GenAI Architect

Jersey City, NJ · On-site

Familiarity with natural language processing (NLP) concepts. Preferred Qualifications: * Familiarity with DevOps practices and CI/CD pipelines for automated software deployment and delivery in AWS

Tiger Analytics Inc.

Senior AI Engineer

Jersey City, NJ · Remote

$109K - $149K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

Tiger Analytics Inc.

Senior AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Experience with natural language processing (NLP) or computer vision applications. * Knowledge of MLOps principles and tools. * Familiarity with version control systems (e.g., Git) and Agile ...

Accord Technologies Inc.

Lead AWS AI Engineer

Piscataway, NJ · On-site

$104K - $137K/yr

Lead AWS AI Engineer Location: Piscataway, NJ Experience level: min 10+ years Position type: W2 ... Amazon Comprehend for natural language processing, sentiment analysis, entity recognition, and text ...

Nestle

Senior Data Scientist

Bridgewater, NJ

  • Medical

  • Retirement

... Engineer, or Applied Scientist, specializing in computer vision, natural language processing, or data synthesis. * Experience developing and deploying advanced analytical models and algorithms.

previous pagenext page

Showing results 21-40

All JobsNatural Language Processing Engineer JobsNatural Language Processing Engineer Jobs in New Jersey

Natural Language Processing Engineer information

See New Jersey salary details

$50.3K

$93.4K

$144.7K

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

As of Aug 16, 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 August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $93,420 per year, or $44.9 per hour.

Java/Spark Developer

Software Guidance & Assistance

Jersey City, NJ • On-site

$53.25 - $69/hr

Other

Re-posted 23 days ago

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Market Risk Developer for a right to hire assignment with one of our premier financial services clients in Jersey City, NJ.
Responsibilities:
  • Architect and build robust, scalable data pipelines to ingest and process billions of trade-level PV calculations from various stress engines.
  • Develop and optimize large-scale aggregation jobs using Apache Spark, ensuring high performance and efficiency.
  • Design and deliver a suite of "intelligent data APIs" that provide flexible, on-demand access to both aggregated and non-aggregated risk data for teams across the firm.
  • Integrate Natural Language Processing (NLP) capabilities to create intuitive, query-based interfaces for data exploration, lowering the barrier to entry for complex analytics.
  • Load and model massive aggregated datasets into high-performance OLAP engines like Apache Pinot, Apache Druid, and Trino.
  • Build powerful, interactive analytical tools and dashboards on top of the OLAP layer, providing summary views and lightning-fast drill-down capabilities.
  • Partner directly with senior stakeholders in the Front Office, Quantitative teams, and Risk Management to understand their analytical needs and deliver innovative solutions.
Required Skills:
  • 10+ years of professional experience, with prior roles in the Capital Markets and Risk domains demonstrating deep expertise in risk aggregations and analytics while working directly with senior Markets and Risk quants.
  • A true passion for data, analytics, and solving complex problems at massive scale.
  • A degree in a quantitative or technical field such as Computer Science, Financial Mathematics, or Financial Engineering.
  • Expert-level, hands-on experience with big data technologies, particularly Apache Spark.
  • Proven experience with high-performance OLAP databases such as Apache Pinot, Apache Druid, or Trino.
  • Strong programming skills in Java and/or Python, and expert-level SQL.
  • Strong background in fundamental computer science concepts, including data structures and algorithms.
  • A mindset for 'AI-first' development, constantly looking for ways to embed intelligence into systems.
  • Experience or a strong interest in applying Natural Language Processing (NLP) to data access and analytics.
  • A knack for solving 'needle in a haystack' problems, with a talent for debugging complex data and access issues.
  • Experience in the financial industry with an understanding of market risk, derivatives, and risk calculations (VaR, Stress Testing, PV) is highly desirable.
  • Exceptional problem-solving skills and the ability to work independently and lead technical projects.
  • Excellent communication skills, with the confidence to collaborate with senior business and quantitative stakeholders.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy

Apply