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Natural Language Processing Engineer Jobs (NOW HIRING)

Straive

LLM Engineer

San Francisco, CA · On-site +1

If you are passionate about natural language processing, machine learning, and artificial ... Strong programming skills in Python and familiarity with ML libraries like TensorFlow or PyTorch.

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 ...

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 ...

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA · On-site

$125.10K - $150.30K/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 ...

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 ...

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 ...

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 ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site

$112.30K - $140.90K/yr

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

Clover Health

Senior Machine Learning Engineer

$125.40K - $165.30K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep ... As a Senior Machine Learning Engineer, you will: * Design, implement and validate high-reliability ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112.30K - $140.90K/yr

AI As a Lead Developer at Kore.AI, you will be responsible for leading a team of developers in ... Implement natural language processing (NLP) and natural language understanding (NLU) capabilities ...

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Natural Language Processing Engineer information

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

As of Jun 4, 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 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 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.
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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 May 2026, with employment types broken down into 63% Full Time, 31% Part Time, and 6% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.

LLM Engineer

Straive

San Francisco, CA • On-site, Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Straive is a leading company in the Information Technology and Services industry, committed to delivering innovative solutions that leverage cutting-edge technologies to drive business transformation. We are currently seeking a highly skilled LLM Engineer to join our dynamic team. The ideal candidate will have a deep understanding of large language models (LLMs) and their application in real-world scenarios. As an LLM Engineer at Straive, you will play a crucial role in designing, developing, and optimizing advanced language-based AI systems that enhance our product offerings and customer experiences. This position offers an exciting opportunity to work with a talented group of professionals in a fast-paced, collaborative environment where your expertise will directly impact the evolution of AI-driven solutions. If you are passionate about natural language processing, machine learning, and artificial intelligence, and looking to contribute to transformative projects, Straive is the perfect place to grow your career and make a difference in the industry.
Responsibilities
  • Design, develop, and deploy large language model-based applications and services.
  • Collaborate with cross-functional teams to integrate LLM technologies into existing platforms.
  • Research and implement state-of-the-art natural language processing techniques.
  • Optimize model performance for accuracy, speed, and scalability.
  • Conduct thorough testing and validation of language models to ensure quality and reliability.
  • Stay updated with the latest advancements in LLMs and AI to incorporate best practices.
  • Provide technical guidance and support to team members on LLM-related projects.

Requirements
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience working with large language models such as GPT, BERT, or similar frameworks.
  • Strong programming skills in Python and familiarity with ML libraries like TensorFlow or PyTorch.
  • Deep understanding of natural language processing concepts and techniques.
  • Experience with model deployment in cloud environments such as AWS, Azure, or GCP.
  • Ability to analyze and improve model performance using appropriate evaluation metrics.
  • Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.

Benefits
Social Security (IMSS)
National Housing Fund (Infonavit)
Consumption Coverage (FONACOT)
Deel Management Fee
Profit sharing bonus
Severance accrual

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