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Nlp Engineer Jobs (NOW HIRING)

Capture2, Inc.

NLP Data Lead

San Diego, CA · On-site

We are seeking an application engineer with experience extracting key information from unstructured ... An individual with a background in NLP technologies will be integral to guiding the training and ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

This is an execution-focused "builder" role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

This is an execution-focused "builder" role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role ...

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading. Responsibilities may ...

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP ... feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key ...

Cymertek

AI/ML Engineer

Aurora, CO · On-site

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP ... feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key ...

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Nlp Engineer information

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$36.5K

$107.3K

$137.5K

How much do nlp engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for nlp engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are typical projects or responsibilities for an NLP Engineer in a team setting?

As an NLP Engineer, you will often work on projects such as building text classification models, developing chatbots, or creating tools for information extraction from documents. Your responsibilities may include data preprocessing, model development and evaluation, and collaborating with data scientists or software engineers to deploy models into production. Day-to-day, you’ll also be involved in regular code reviews, experiment tracking, and keeping up with new advancements in NLP techniques. Teamwork and clear communication are essential, as you’ll regularly coordinate with product managers and other stakeholders to align solutions with business goals. This environment provides opportunities to develop both technical depth and leadership skills as you take on increasingly complex projects.

What are the key skills and qualifications needed to thrive in the Nlp Engineer position, and why are they important?

To thrive as an NLP Engineer, you need a strong foundation in mathematics, programming (especially Python), and experience with machine learning and natural language processing techniques, typically supported by a degree in computer science or a related field. Familiarity with NLP frameworks such as spaCy, NLTK, or Hugging Face Transformers, as well as experience using cloud platforms and version control systems, is also important. Strong problem-solving abilities, communication skills, and a collaborative mindset help you stand out in this role. These skills and qualities are crucial for developing, deploying, and optimizing language-based AI solutions that meet real-world business needs.

What does an NLP Engineer do?

An NLP Engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with machine learning, deep learning, and linguistic principles to build applications like chatbots, speech recognition systems, and text analytics tools. Their role involves data preprocessing, model training, and optimization to improve language-based AI solutions.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and linguistics. It is a growing field with high demand in industries like tech, healthcare, and finance, offering competitive salaries and opportunities for advancement. Success in this career typically involves continuous learning and proficiency with tools like Python and frameworks such as TensorFlow or PyTorch.

What does an NLP engineer do?

An NLP engineer develops and implements algorithms that enable computers to understand, interpret, and generate human language. They work with machine learning models, natural language processing tools, and programming languages like Python to build applications such as chatbots, language translation, and sentiment analysis systems.

What engineers make 500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and stock options or bonuses. Roles in technology companies, finance, or startups with equity offerings are more likely to reach this compensation level.

What is the salary of NLP engineer?

The average salary of an NLP engineer in the United States ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and natural language processing tools may earn higher compensation.
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Nlp Engineer jobs near you
Infographic showing various Nlp Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.
NLP Data Lead

NLP Data Lead

Capture2, Inc.

San Diego, CA • On-site

Full-time

Re-posted 2 days ago

Job description

Role Objective

Capture2 is looking for an experienced Natural Language Processing (NLP) Data Lead to join our engineering team, and to act as a leader for the information processing and extraction efforts within our organization. We are seeking an application engineer with experience extracting key information from unstructured text, and to work closely with the broader Capture2 engineering team to help revolutionize our data analysis efforts. An individual with a background in NLP technologies will be integral to guiding the training and testing of models for entity recognition, extraction, and normalization of information across a wide range of text and content sources.

This role is technical in nature, and requires both implementation experience writing code and developing models, as well as acting as a leader and mentor for the NLP efforts within the Capture2 team.


Responsibilities

- Analyze text inputs to support information extraction and data classification efforts

- Develop software to process, evaluate, classify, and summarize text in a variety of forms

- Produce models to support entity identification and extraction across a large corpus of text and unstructured content

- Support the development of new requirements, strategies, and concepts to expand the Natural Language Processing (NLP) efforts

- Work with the development team to continually improve the quality and scope of the solution models

- Participate in concept development and strategy sessions to develop new and innovative solutions

Required Knowledge, Skills, & Experience

- Hands-on experience (3+ years) in a variety of NLP technologies, techniques, and concepts

- Expertise in data processing and transformation, with a demonstrated capability of turning unstructured text into useful information

- Demonstrated development experience (Java, Python, etc.) in developing and maintaining NLP software solutions

- Experience in standard NLP activities and techniques, such as sentence/word tokenization, stemming, named entity recognition (NER), part of speech (POS) tagging, and other parsing activities.

Capture2 is where government business starts. The Capture2Proposal solution helps our customers consistently identify, pursue, and win government contracts and sourcing agreements. We believe our nation needs an efficient government, and that the government needs the capabilities of commercial entities of all sizes. Capture2's goal is to open access to government contracts to businesses of all sizes.

We have positions open in San Diego.

Ensuring a diverse and inclusive workplace where we learn from each other is core to our values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a fun place to work. Come make a difference with Capture2.

Apply