ZipRecruiter

Log In

1

Natural Language Processing Engineer Jobs (NOW HIRING)

Cypress HCM

LLM Research Engineer

Mountain View, CA · On-site

$90 - $121.86/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine ... Strong programming skills. * Proficiency with deep learning frameworks such as TensorFlow, PyTorch ...

Mercedes-Benz Cars UK Limited

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Stay current with advancements in machine learning frameworks, natural language processing ... Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and ...

Daimler

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Stay current with advancements in machine learning frameworks, natural language processing ... Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and ...

Apple

Sr Software Engineer, Proactive

Santa Clara, CA · On-site

$143K - $189K/yr

As part of this group, you'll work with our machine learning, natural language processing, and ... Engineering, or equivalent proven experience. Minimum Qualifications 4+ years of iOS / macOS ...

next page

Showing results 1-20

All JobsNatural Language Processing Engineer Jobs

Natural Language Processing Engineer information

See salary details

$49.5K

$92K

$142.5K

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

As of Jun 24, 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 is the salary of an NLP engineer?

The salary of a Natural Language Processing (NLP) engineer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in many regions. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with proficiency in tools like Python, TensorFlow, or PyTorch.

Is ML a high paying job?

A career as a Natural Language Processing Engineer, which involves machine learning (ML), is generally considered high paying due to the specialized skills required, such as programming in Python, understanding of deep learning frameworks, and experience with large datasets. Salaries tend to be above average in the tech industry, especially with experience, advanced degrees, and proficiency in tools like TensorFlow or PyTorch.

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 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like machine learning or natural language processing can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in certain industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech firms or startups with high growth potential.

What does a natural language processing engineer do?

A natural language processing (NLP) engineer develops algorithms and models that enable computers to understand, interpret, and generate human language. They work with techniques such as machine learning, deep learning, and linguistic analysis, often using tools like Python and libraries like TensorFlow or PyTorch, to build applications like chatbots, language translation, and sentiment analysis.
More about Natural Language Processing Engineer jobs
What cities are hiring for Natural Language Processing Engineer jobs? Cities with the most Natural Language Processing Engineer job openings:
What are the most commonly searched types of Natural Language Processing Engineer jobs? The most popular types of Natural Language Processing Engineer jobs are:
What states have the most Natural Language Processing Engineer jobs? States with the most job openings for Natural Language Processing Engineer jobs include:
What job categories do people searching Natural Language Processing Engineer jobs look for? The top searched job categories for Natural Language Processing Engineer jobs are:
Natural Language Processing Engineer jobs near you
Infographic showing various Natural Language Processing Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $92,018 per year, or $44.2 per hour.
LLM Research Engineer

LLM Research Engineer

Cypress HCM

Mountain View, CA • On-site

$90 - $121.86/hr

Full-time

Posted 11 days ago

Job description


LLM Research Engineer
Key Responsibilities:
  • Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications.
  • Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance.
  • Explore advancements in transformer architectures, multi-modal models, and emergent AI behaviors.
  • Collect, clean, and preprocess large-scale text datasets from diverse sources.
  • Develop and implement data augmentation techniques to improve training data quality.
  • Ensure data is free from bias and aligned with ethical AI standards.
  • Optimize model architecture to improve accuracy, efficiency, and scalability.
  • Implement techniques to reduce latency, memory footprint, and inference time for real-time applications.
  • Collaborate with MLOps teams to deploy LLMs into production environments using Docker, Kubernetes, and cloud
  • Develop robust evaluation pipelines to measure model performance using key metrics like accuracy, perplexity, BLEU, and F1 score.
  • Continuously test for bias, fairness, and robustness of language models across diverse datasets.
  • Conduct A/B testing to evaluate model improvements in real-world applications.
    Stay updated with the latest advancements in generative AI, transformers, and NLP research.
  • Contribute to research papers, patents, and open-source projects.
  • Present findings and insights at conferences and internal knowledge-sharing sessions.
Qualifications:
  • 7-10 years experience
  • Advanced degree in CS, Artificial Intelligence, Data Science, or a related field.
  • Strong programming skills.
  • Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Hands-on experience with transformer-based models (e.g., GPT, BERT, RoBERTa, LLaMA).
  • Expertise in natural language processing (NLP) and sequence-to-sequence models.
  • Familiarity with Hugging Face libraries and OpenAI APIs.
  • Experience with MLOps tools like Docker, Kubernetes, and CI/CD pipelines.
  • Strong understanding of distributed computing and GPU acceleration using CUDA.
  • Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback).
Compensation: $90 - $121.86 per hour
ID#: 36408719
Cypress HCM logo

About Cypress HCM

Sourced by ZipRecruiter

We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

Social media

FacebookTwitter

View All Cypress HCM Jobs