1

Nlp Engineer Jobs (NOW HIRING)

... engineers to define product roadmap and feature specifications • Stay current with the latest technological advances in text mining, NLP processing, and machine learning Qualifications • ...

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

... electrical engineering machine learning applications Experience with large language models ... NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or ...

... electrical engineering machine learning applications Experience with large language models ... NLP), or using large language models in industry applications Experience in EDA Tool, CAD flow or ...

NLP Architect

San Jose, CA · On-site

$240K - $480K/yr

About the Team The senior staff engineer will join the Unified Storage team at Nutanix, located in ... Your Role * Design and develop NLP/LLM-powered features to enhance the DataHub platform.

GenAI NLP ML Engineer Location: Austin TX Key Responsibilities: * 10+ yrs experience minimum * Collaborate and manage with data science, engineering, and GenAI teams to deploy and scale machine ...

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

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

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

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 ...

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

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

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

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

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

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

next page

Showing results 1-20

Nlp Engineer information

See salary details

$36.5K

$107.3K

$137.5K

How much do nlp engineer jobs pay per year?

As of Jun 11, 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 is the salary of NLP engineer in the US?

The average salary for an NLP engineer in the US 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.

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.

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 techniques such as machine learning, deep learning, and natural language processing tools to build applications like chatbots, language translation, and sentiment analysis. Strong programming skills and knowledge of linguistics or data science are essential in this role.

Are NLP engineers in demand?

NLP engineers are in high demand due to the growing use of natural language processing in applications like chatbots, virtual assistants, and data analysis. Companies seek professionals skilled in machine learning, deep learning, and tools such as Python and TensorFlow to develop and improve language models, making this a promising career path.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation at this level often includes base salary, bonuses, and stock options.
More about Nlp Engineer jobs
What cities are hiring for Nlp Engineer jobs? Cities with the most Nlp Engineer job openings:
What are the most commonly searched types of Nlp Engineer jobs? The most popular types of Nlp Engineer jobs are:
What states have the most Nlp Engineer jobs? States with the most job openings for Nlp Engineer jobs include:
Senior NLP Scientist/Engineer

Senior NLP Scientist/Engineer

Brilent

San Mateo, CA • On-site

Full-time

Medical, Dental

Posted 28 days ago


Job description

Company Description
Brilent is a data science tech company developing a SaaS solution to help recruiters quickly and effectively identify the right talent to hire. The Brilent team brings together deep experience in machine learning, and data science from leading edge companies to solve the growing problem of leveraging big data to effectively identify and connect with the right talent. With the Brilent solution, pre-screening candidates take minutes as opposed to hours or days thus shortening the time-to-hire, and increasing the number of candidate placements.
WHY US?
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, Microsoft and HP, and graduates of top-tier universities (University of Waterloo, CMU, University of Michigan, USC, etc.). We are looking for exceptional people to scale our business and build innovative products. Come join the revolution!
Job Description
Responsibilities
• Develop document/text parsing technologies and build them into Brilent's core recommendation engine
• Implement, evaluate and deploy advanced parsing and matching algorithms
• Work with backend engineers, and UI/UX designers and engineers to define product roadmap and feature specifications
• Stay current with the latest technological advances in text mining, NLP processing, and machine learning
Qualifications
• Extensive experiences in NLP processing including POS tagging, syntactic/semantic analysis, ambiguity resolution, named entity recognition, relation extraction, text classification, and discourse analysis
• Working knowledge and hands-on experience of parsing entities and their relations from text documents/corpus
• Strong machine learning background and experience of using ML techniques in NLP applications
• Strong programming skills in Java/C/C++/Python
• Proficient with relational database (e.g., MySQL) and knowledgeable in non-relational or graph databases
• Familiar with open-source or commercial text processing and/or NLP tools, such as Apache Lucene or Solr, Stanford CoreNLP, NLTK, Apache OpenNLP, or other natural language software packages for Parts of Speech tagging, ambiguity resolution, and syntactic parsing.
• Master's or PhD degree in linguistics or computational linguistics, or related degree in machine learning or Computer science
Additional Information
We offer competitive salaries, stock options, and full benefits, including health and dental coverage, all meals included, snacks, travel reimbursement, etc.