ZipRecruiter

Log In

1

Nlp Engineer Jobs in Seattle, WA (NOW HIRING)

eTeam

AI Agent Engineer

Redmond, WA · On-site

... NLP models, and enhancing tool-augmented agents. Responsibilities : • 2 years of experience in ... Bachelor's or Master of Engineering Preferred : • LLM APIs • Autonomous Workflows Company ...

PitchBook

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

Promote innovation and continuous improvement through collaborative engineering practices • Build and optimize models that leverage classifiers, transformers, LLMs, and other NLP techniques to ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA

$118K - $163K/yr

Your focus will span across natural language processing (NLP), generative AI (GenAI), large ... As a senior engineer, you will take ownership of key technical components and ensure that our ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

Your focus will span across natural language processing (NLP), generative AI (GenAI), large ... Collaborate with engineering, product management, and data collection teams to ensure models are ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

Your focus will span across natural language processing (NLP), generative AI (GenAI), large ... As a senior engineer, you will take ownership of key technical components and ensure that our ...

Ai2

Research Engineer, Asta

Seattle, WA · On-site

Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or ... engineering skills, particularly around building performant systems and debugging. • Must have ...

Ai2

Research Engineer, FlexOlmo

Seattle, WA · On-site

Required : • A bachelor's degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP, or ... engineering skills, particularly around building performant systems and debugging. • Must have ...

Ai2

Research Engineer, FlexOlmo

Seattle, WA · On-site

Required : • A bachelor's degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP, or ... engineering skills, particularly around building performant systems and debugging. • Must have ...

Ai2

Research Engineer, Asta

Seattle, WA · On-site

Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or ... engineering skills, particularly around building performant systems and debugging. • Must have ...

next page

Showing results 1-20

All JobsNlp Engineer JobsNlp Engineer Jobs in Seattle, WA

Nlp Engineer information

See Seattle, WA salary details

$41.6K

$122.2K

$156.6K

How much do nlp engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for nlp engineer in Seattle, WA is $122,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $154,900.00 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 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 are the most commonly searched types of Nlp Engineer jobs in Seattle, WA? The most popular types of Nlp Engineer jobs in Seattle, WA are:
What are popular job titles related to Nlp Engineer jobs in Seattle, WA? For Nlp Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Nlp Engineer jobs in Seattle, WA look for? The top searched job categories for Nlp Engineer jobs in Seattle, WA are:
Nlp Engineer jobs near you
Infographic showing various Nlp Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,158 per year, or $58.7 per hour.

Generative AI Engineer / LLM Engineer

Connexions Data Inc

Seattle, WA • On-site

Other

Posted 17 days ago

Job description

This is a Generative AI Engineer / LLM Engineer role with a strong focus on RAG (Retrieval-Augmented Generation), NLP, and Python.

They want someone who can:

  • Build Generative AI applications
  • Develop RAG-based chatbots and AI assistants
  • Fine-tune LLMs
  • Work with Python
  • Deploy AI solutions in an Agile environment

Likely experience expected:

  • 8 years in AI/ML
  • 2 4 years specifically in Generative AI or LLMs (depending on the market and client expectations)
Job Description
Must Have Technical/Functional Skills
Experience in executing projects in Agile Framework
Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing.
Proficiency in RAG (Retrieval-Augmented Generation) techniques.
Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning.
Familiarity with evaluation metrics for RAG systems.
Knowledge of transformer architectures and training techniques.
Awareness of ethical considerations and bias mitigation strategies.
Understanding of autonomous decision-making algorithms.
Proficiency in the programming language Python.
Strong analytical and problem-solving skills.
Roles & Responsibilities
Qualifications:
Bachelor s or master s degree in computer science, data science or equivalent
Develop and implement generative AI models using frameworks like TensorFlow and PyTorch.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines.
Work on NLP tasks such as text classification, summarization, and conversational AI.
Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas).
Fine-tune and optimize transformer-based models and LLMs for specific use cases.
Evaluate model performance using RAG and NLP evaluation metrics.
Develop and integrate machine learning models into applications.
Apply autonomous decision-making logic in AI-driven workflows where needed.
Generic Managerial Skills, If any
Good to have Manufacturing domain understanding
Excellent communication
Team collaboration
Documentation and knowledge sharing

Apply