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Nlp Engineer Jobs in Seattle, WA (NOW HIRING)

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 ...

Sr. Machine Learning Engineer

Seattle, WA · On-site

$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 ...

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 ...

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 ...

Software Engineer

Seattle, WA · On-site

$200 - $275/hr

Collaborate with ML/NLP engineers to iterate on embedding models and improve search quality; * Ensure reliability, low latency, and scalability across the entire data retrieval and augmentation stack;

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 ...

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 ...

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 ...

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Nlp Engineer information

See Seattle, WA salary details

$41.5K

$122.1K

$156.5K

How much do nlp engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for nlp engineer in Seattle, WA is $122,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $154,800.00 per year, depending on experience, location, and employer.

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 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.

How much do NLP engineers make?

NLP engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning and natural language processing tools can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Is an NLP engineer a good career?

An NLP engineer is a specialized role focused on developing natural language processing systems, often requiring skills in machine learning, programming, and data analysis. It is considered a growing field with strong demand due to the increasing use of AI and language-based applications in various industries.

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:

Infographic showing various Nlp Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $122,089 per year, or $58.7 per hour.

Senior ML Engineer: NLP, GenAI, & Insight Platforms (Seattle)

PitchBook Data

Seattle, WA • On-site

$118K - $163K/yr

Full-time

Re-posted yesterday


Job description

A leading financial technology company in Seattle is seeking a Senior Machine Learning Engineer to deliver AI-powered insights using NLP and machine learning. The ideal candidate will have 6+ years of relevant experience and strong programming skills. This role is deeply collaborative, with hands-on involvement in the end-to-end development of ML models. Competitive salary and extensive benefits are included.
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