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Natural Language Processing Engineer Jobs (NOW HIRING)

Prophecy Technologies

Generative AI Engineer

Austin, TX · On-site

This role is for a Generative AI Engineer with a focus on AI/ML, Python, SAP Cloud, and Generative ... Expert knowledge of natural language processing for text generation tasks. * Experience in Digital ...

CoVar

Signal Processing Engineer

Durham, NC

Signal Processing Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... and natural language processing. * Spectrum monitoring and signal classification using machine ...

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA

$125K - $150K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a ... Bachelor's degree in a relevant subject area (e.g., computer science, electrical engineering ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... natural language processing systems and technologies. YOUR RESPONSIBILITIES As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · Hybrid

$68 - $78/hr

Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects. Learn new technologies and focus on what you're passionate about. Requirements :: 2+ years experience with ...

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX · On-site

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

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Natural Language Processing Engineer information

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$49.5K

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$142.5K

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

As of Jun 24, 2026, the average yearly pay for natural language processing engineer in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is the salary of an NLP engineer?

The salary of a Natural Language Processing (NLP) engineer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in many regions. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with proficiency in tools like Python, TensorFlow, or PyTorch.

Is ML a high paying job?

A career as a Natural Language Processing Engineer, which involves machine learning (ML), is generally considered high paying due to the specialized skills required, such as programming in Python, understanding of deep learning frameworks, and experience with large datasets. Salaries tend to be above average in the tech industry, especially with experience, advanced degrees, and proficiency in tools like TensorFlow or PyTorch.

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 in the Natural Language Processing Engineer position, and why are they important?

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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like machine learning or natural language processing can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in certain industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech firms or startups with high growth potential.

What does a natural language processing engineer do?

A natural language processing (NLP) engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with techniques such as machine learning, deep learning, and linguistic analysis, often using tools like Python and libraries like TensorFlow or PyTorch, to build applications like chatbots, language translation, and sentiment analysis.
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Natural Language Processing Engineer jobs near you
Infographic showing various Natural Language Processing Engineer job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, 41% Part Time, 2% Contract, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.
Natural Language Processing Engineer

Natural Language Processing Engineer

Beyond SOF

Washington, DC • On-site

Full-time

Posted 8 days ago

Job description

Role Summary:
The Natural Language Processing
(NLP) Engineer is responsible for
developing and implementing NLP
solutions to support the
company's projects.
Main Responsibilities and duties:
Develop and implement NLP
solutions.
Collaborate with the engineering
team to integrate NLP solutions
into projects.
Conduct research on NLP
technologies and trends.
Stay updated on the latest NLP
technologies and trends.
Develop and implement
quantum-enhanced NLP
solutions. Collaborate with
quantum engineers to integrate
quantum technologies into NLP
projects.

Apply