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Natural Language Understanding Jobs (NOW HIRING)

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ...

Vantage

Sr. Software Developer - PHP

New Hope, PA · On-site

Experience with Machine Learning or Natural Language Understanding algorithms. Benefits: * Medical, Dental and Vision Insurance * 401(k) * Life Insurance * Short-Term and Long-Term Disability * Legal ...

Amazon

Applied Scientist, Core Search

Seattle, WA · On-site

Keyword-based search breaks down when confronted with natural language expressions. Queries like "I ... understanding that customers increasingly expect. Core Search team is reimagining search ...

DabKick

Speech Recognition Engineer

San Jose, CA · On-site

Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning Understanding of ...

StackAdapt

Build and configure AI agents to perform tasks such as natural language understanding, data extraction, decision-making, and system interactions. * Develop custom connectors, APIs, and middleware to ...

DabKick

Speech Recognition Engineer

San Jose, CA · On-site

Graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning Understanding of ...

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Natural Language Understanding information

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$24.5K

$104.1K

$189.5K

How much do natural language understanding jobs pay per year?

As of Jun 24, 2026, the average yearly pay for natural language understanding in the United States is $104,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $145,500.00 per year, depending on experience, location, and employer.

Is NLP a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing systems to understand and generate human language. Careers in NLP typically require skills in machine learning, programming, and linguistics, and are in demand across industries such as tech, healthcare, and finance. The field offers opportunities for research, development, and application of innovative language technologies.

Is ML a high paying job?

Machine Learning (ML) roles, including positions in Natural Language Understanding, are generally well-paid due to high demand for specialized skills such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but many ML jobs offer competitive compensation compared to other tech roles.

What are the key skills and qualifications needed to thrive as a Natural Language Understanding (NLU) Engineer, and why are they important?

To thrive as an NLU Engineer, you need a solid background in computational linguistics, machine learning, and programming (typically Python), often supported by a degree in computer science or a related field. Familiarity with NLP frameworks (like spaCy, NLTK, or Hugging Face), deep learning libraries (such as TensorFlow or PyTorch), and experience with large language models are commonly required. Strong analytical thinking, problem-solving skills, and effective collaboration set standout candidates apart. These skills and qualities are crucial for developing accurate, efficient NLU systems that interpret human language for real-world applications.

What are some common challenges faced by professionals working in Natural Language Understanding (NLU) roles?

Professionals in Natural Language Understanding often encounter challenges such as handling the ambiguity and complexity of human language, managing large and diverse datasets, and ensuring models accurately interpret context, sentiment, and intent. Collaborating closely with data scientists, linguists, and software engineers is essential to refine algorithms and improve model performance. Additionally, staying updated with rapid advancements in NLP research and integrating state-of-the-art models into production systems are ongoing aspects of the role.

Is NLP a dead field?

Natural Language Processing (NLP) is an active and evolving field within artificial intelligence, with ongoing research and commercial applications. NLP specialists work with machine learning models, linguistic analysis, and tools like Python and TensorFlow to develop language understanding systems, making it a viable career path.

What jobs are there in NLP?

Jobs in NLP include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, and Computational Linguist. These positions involve developing algorithms, models, and tools to process and understand human language, often requiring skills in programming, machine learning, and linguistics. Professionals typically work in research, product development, or data analysis environments and may need familiarity with tools like Python, TensorFlow, or spaCy.

What is Natural Language Understanding (NLU)?

Natural Language Understanding (NLU) is a subfield of artificial intelligence that focuses on enabling computers to understand, interpret, and respond to human language in a meaningful way. NLU involves processing text or speech input to extract intent, meaning, and context, which allows machines to interact with people naturally. It is commonly used in applications like virtual assistants, chatbots, and translation services to bridge the gap between human communication and computer interpretation.

What is the difference between Natural Language Understanding vs Natural Language Processing?

AspectNatural Language UnderstandingNatural Language Processing
FocusInterpreting and comprehending human languageProcessing and analyzing language data
Skills & CertificationsMachine learning, linguistics, AI certificationsData analysis, programming, NLP tools
Work EnvironmentAI research, tech companies, NLP development teamsData science, software development, AI projects

Natural Language Understanding (NLU) focuses on interpreting the meaning behind human language, enabling machines to comprehend context and intent. In contrast, Natural Language Processing (NLP) encompasses a broader set of techniques for processing, analyzing, and manipulating language data. While NLU is a subset of NLP, both roles often overlap in AI and language technology fields, but NLU emphasizes understanding, whereas NLP includes processing and generation tasks.

More about Natural Language Understanding jobs
What job categories do people searching Natural Language Understanding jobs look for? The top searched job categories for Natural Language Understanding jobs are:
Natural Language Understanding jobs near you
Infographic showing various Natural Language Understanding job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $104,067 per year, or $50 per hour.
Natural Language Processing (NLP) Specialist

Natural Language Processing (NLP) Specialist

Cymertek

Annapolis Junction, MD

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Natural Language Processing (NLP) Specialist
LOCATIONAnnapolis Junction, MD 20701
CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARYWe are seeking a talented and innovative Natural Language Processing (NLP) Specialist to join our team and work on cutting-edge language-based technologies. In this role, you will design, implement, and optimize NLP models to extract insights, process unstructured data, and enhance user interactions. Collaborating with cross-functional teams, you will develop solutions that address complex linguistic challenges and drive advancements in AI-powered applications. If you are passionate about language, data, and leveraging machine learning to solve real-world problems, we encourage you to apply!

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***

SIMILAR CAREER TITLESMachine Learning Engineer, Computational Linguist, Data Scientist, AI Specialist, NLP Engineer, Text Mining Specialist, Deep Learning Engineer, Speech Recognition Engineer, Language Model Developer, Computational Scientist, etc.
DEGREE (Level Desired)Bachelor's DegreeDEGREE (Focus)Computer Science, Computational Linguistics, Data Science, Artificial Intelligence, Machine Learning, Linguistics, Information Technology, Mathematics, Cognitive Science, Software Engineering, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Design and implement NLP algorithms
  • Analyze and preprocess text data
  • Develop language models
  • Test and optimize NLP solutions
  • Collaborate with cross-functional teams
  • Provide insights from unstructured data
REQUIRED SKILLS
  • Proficiency in Python or R
  • Experience with NLP libraries
  • Text preprocessing techniques
  • Statistical analysis
  • Machine learning model development
  • Data visualization skills
DESIRED SKILLS
  • Knowledge of deep learning frameworks
  • Familiarity with transformer models
  • Experience with speech processing
  • Proficiency in sentiment analysis
  • Understanding of information retrieval
  • Knowledge of semantic search
PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.

We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
HOW TO APPLY

Email us at jobs@cymertek.com or apply today: www.cymertek.com

Want to see what our employees think? Click here .

EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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