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Natural Language Processing Engineer Jobs in Cypress, TX

Lead Machine Learning Engineer

Houston, TX ยท Remote

$104K - $138K/yr

... on Natural Language Processing (NLP). * Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures. * Strong programming ...

Lead Machine Learning Engineer

Houston, TX ยท On-site +1

$97K - $128K/yr

... on Natural Language Processing (NLP). * Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures. * Strong programming ...

Lead Machine Learning Engineer

Houston, TX ยท On-site +1

$97K - $128K/yr

... on Natural Language Processing (NLP). * Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures. * Strong programming ...

Collaborate with data engineers, architects, data scientists, analysts, product owners, and ... Experience supporting AI/ML, natural language processing, knowledge graphs, semantic search, or ...

Senior Palantir Foundry Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Collaborate with data engineers, architects, data scientists, analysts, product owners, and ... Experience supporting AI/ML, natural language processing, knowledge graphs, semantic search, or ...

Senior Palantir Foundry Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Collaborate with data engineers, architects, data scientists, analysts, product owners, and ... Experience supporting AI/ML, natural language processing, knowledge graphs, semantic search, or ...

Showing results 21-40

Natural Language Processing Engineer information

See Cypress, TX salary details

$42.6K

$79.3K

$122.7K

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

As of Sep 3, 2026, the average yearly pay for natural language processing engineer in Cypress, TX is $79,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $88,700.00 per year, depending on experience, location, and employer.

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 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 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.

Are natural language processing engineers in demand?

Natural Language Processing (NLP) engineers are in high demand due to the growing use of AI and machine learning in industries such as technology, healthcare, and finance. They often require skills in programming, machine learning frameworks, and understanding of linguistics, with job growth expected to continue as AI applications expand.

What job categories do people searching Natural Language Processing Engineer jobs in Cypress, TX look for?

The top searched job categories for Natural Language Processing Engineer jobs in Cypress, TX are:

Infographic showing various Natural Language Processing Engineer job openings in Cypress, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $79,260 per year, or $38.1 per hour.

Machine Learning Researcher - PhD Intern (US)

Citadel

Houston, TX โ€ข On-site

$4.5K - $5.8K/wk

Other

Re-posted 18 days ago


Job description

Job Description

At Citadel, our mission is to be the most successful investment team in the world. Machine Learning Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You'll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives

  • Use statistics, machine learning (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
  • Implement algorithms in high-quality code
  • Work with large data sets, including unconventional and unstructured data sources
  • Back-test models and document research findings

Your Skills & Talents

  • PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field
  • Advanced training and a strong research track record in machine learning, statistics, deep learning, natural language processing, artificial intelligence, or a closely related quantitative field
  • Prior experience working in a data driven detailed research environment
  • Hands on programming experience in Python or C++
  • A background demonstrating strong problem-solving skills
  • An ability to communicate advanced concepts in a concise and logical way
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems

Opportunities available in New York, Miami, Greenwich, and Houston.

In accordance with applicable law, the base salary range for this role is $4,500 to $5,800 per week.

About Citadel

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.