... Vision, Natural Language Processing (NLP) or related applications PREFERRED QUALIFICATIONS - Experience in machine learning, data mining, information retrieval, statistics or natural language ...
... Vision, Natural Language Processing (NLP) or related applications PREFERRED QUALIFICATIONS - Experience in machine learning, data mining, information retrieval, statistics or natural language ...
Course Instructor Position - Online Master's Degree in Artificial Intelligence
Redmond, WA · On-site
$6.0K/mo
Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working ...
Course Instructor Position - Online Master's Degree in Artificial Intelligence
Redmond, WA · On-site
$6.0K/mo
Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working ...
Principal Applied Scientist , Personalized Autonomy and Proactive Intelligence (PAPI)
Bellevue, WA · On-site
You will technically lead a team of applied scientists to harness state-of-the-art technologies in machine learning, natural language processing, LLM training and application, and agentic AI systems ...
Principal Applied Scientist , Personalized Autonomy and Proactive Intelligence (PAPI)
Bellevue, WA · On-site
You will technically lead a team of applied scientists to harness state-of-the-art technologies in machine learning, natural language processing, LLM training and application, and agentic AI systems ...
Course Author Position: Online Master's Degree in Artificial Intelligence
Redmond, WA · On-site
$10K - $10K/mo
Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working ...
Course Author Position: Online Master's Degree in Artificial Intelligence
Redmond, WA · On-site
$10K - $10K/mo
Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working ...
Course Instructor Position - Online Master's Degree in Artificial Intelligence
Redmond, WA · On-site
$6.0K/mo
Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working ...
Course Instructor Position - Online Master's Degree in Artificial Intelligence
Redmond, WA · On-site
$6.0K/mo
Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working ...
Course Author Position: Online Master's Degree in Artificial Intelligence
Redmond, WA · On-site
$10K - $10K/mo
Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working ...
Course Author Position: Online Master's Degree in Artificial Intelligence
Redmond, WA · On-site
$10K - $10K/mo
Students engage with state-of-the-art techniques in machine learning, deep learning, natural language processing, computer vision, and ethical AI development. The program is designed for working ...
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. * Implement, train, and fine-tune LLM and GPT ...
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. * Implement, train, and fine-tune LLM and GPT ...
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. * Implement, train, and fine-tune LLM and GPT ...
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. * Implement, train, and fine-tune LLM and GPT ...
ML Postdoc Researcher - LLMs & Generative AI
Seattle, WA · Remote
$132K/yr
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. * Implement, train, and fine-tune LLM and GPT ...
ML Postdoc Researcher - LLMs & Generative AI
Seattle, WA · Remote
$132K/yr
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. * Implement, train, and fine-tune LLM and GPT ...
ML Postdoc Researcher - LLMs & Generative AI
Seattle, WA · On-site
$132K/yr
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. * Implement, train, and fine-tune LLM and GPT ...
ML Postdoc Researcher - LLMs & Generative AI
Seattle, WA · On-site
$132K/yr
Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. * Implement, train, and fine-tune LLM and GPT ...
Enterprise AI Engineer I
Seattle, WA · On-site
$100K - $115K/yr
... natural language processing (NLP) techniques for text analysis and sentiment analysis 6. Explore and apply state-of-the-art AI methodologies and tools to improve existing systems 7. Evaluate and ...
Enterprise AI Engineer I
Seattle, WA · On-site
$100K - $115K/yr
... natural language processing (NLP) techniques for text analysis and sentiment analysis 6. Explore and apply state-of-the-art AI methodologies and tools to improve existing systems 7. Evaluate and ...
... natural language processing (NLP) techniques for text analysis and sentiment analysis 6. Explore and apply state-of-the-art AI methodologies and tools to improve existing systems 7. Evaluate and ...
... natural language processing (NLP) techniques for text analysis and sentiment analysis 6. Explore and apply state-of-the-art AI methodologies and tools to improve existing systems 7. Evaluate and ...
Applying AI to natural language processing (NLP) is today's next frontier. Docugami specializes in inventing and implementing unique and creative techniques that push the boundaries of what is ...
Applying AI to natural language processing (NLP) is today's next frontier. Docugami specializes in inventing and implementing unique and creative techniques that push the boundaries of what is ...
AIML - Machine Learning Research
Seattle, WA · On-site
$142K - $263K/yr
Experienced researcher with publications in areas of machine learning, including natural language processing Deep understanding of cutting edge RL algorithms and large language model. Deep ...
AIML - Machine Learning Research
Seattle, WA · On-site
$142K - $263K/yr
Experienced researcher with publications in areas of machine learning, including natural language processing Deep understanding of cutting edge RL algorithms and large language model. Deep ...
Software Engineering Intern
Kirkland, WA · On-site
Applying AI to natural language processing (NLP) is today's next frontier. Docugami specializes in inventing and implementing unique and creative techniques that push the boundaries of what is ...
Software Engineering Intern
Kirkland, WA · On-site
Applying AI to natural language processing (NLP) is today's next frontier. Docugami specializes in inventing and implementing unique and creative techniques that push the boundaries of what is ...
2026 Fall Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student S
Seattle, WA · On-site
Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI ...
2026 Fall Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student S
Seattle, WA · On-site
Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI ...
Research Scientist III - AMZ10061595
Seattle, WA · On-site
$164K - $215K/yr
Must have three years of experience in the following skill(s): (1) conducting research in machine learning, natural language processing, computer vision, or a related functionality, and publishing ...
Research Scientist III - AMZ10061595
Seattle, WA · On-site
$164K - $215K/yr
Must have three years of experience in the following skill(s): (1) conducting research in machine learning, natural language processing, computer vision, or a related functionality, and publishing ...
The scientist will own investments in machine learning, natural language processing, GenAI, to solve real world problems at scale. The team's output affects the velocity at which we build product ...
The scientist will own investments in machine learning, natural language processing, GenAI, to solve real world problems at scale. The team's output affects the velocity at which we build product ...
Sr. Manager of Applied Science - Catalog Services, Product Knowledge GenAI
Seattle, WA · On-site
$144K - $190K/yr
The leader will drive investments in machine learning, natural language processing, GenAI, to solve real world problems at scale. The team's output affects the velocity at which we build product ...
Sr. Manager of Applied Science - Catalog Services, Product Knowledge GenAI
Seattle, WA · On-site
$144K - $190K/yr
The leader will drive investments in machine learning, natural language processing, GenAI, to solve real world problems at scale. The team's output affects the velocity at which we build product ...
The scientist will own investments in machine learning, natural language processing, GenAI, to solve real world problems at scale. The team's output affects the velocity at which we build product ...
The scientist will own investments in machine learning, natural language processing, GenAI, to solve real world problems at scale. The team's output affects the velocity at which we build product ...
Natural Language Processing information
See Seattle, WA salary details
$16.20 - $19.75
19% of jobs
$20.46 is the 25th percentile. Wages below this are outliers.
$19.75 - $23.29
31% of jobs
$23.29 - $26.84
7% of jobs
$26.84 - $30.38
6% of jobs
$32.82 is the 75th percentile. Wages above this are outliers.
$30.38 - $33.93
17% of jobs
$33.93 - $37.48
8% of jobs
$37.48 - $41.02
2% of jobs
$41.02 - $44.57
2% of jobs
$44.57 - $48.11
6% of jobs
$48.11 - $51.66
1% of jobs
$51.66 - $55.20
0% of jobs
$16
$29
$55
How much do natural language processing jobs pay per hour?
What is a natural language processing?
A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.
What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?
To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.
What are some typical challenges faced by professionals in natural language processing?
Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.
How to get a job in Natural Language Processing?
Is natural language processing a good career?
What can I do with natural language processing?
What are the most commonly searched types of Natural Language Processing jobs in Seattle, WA?
The most popular types of Natural Language Processing jobs in Seattle, WA are:
What are popular job titles related to Natural Language Processing jobs in Seattle, WA?
For Natural Language Processing jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Seattle, WA look for?
The top searched job categories for Natural Language Processing jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Natural Language Processing jobs?
Cities near Seattle, WA with the most Natural Language Processing job openings:

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 7 days ago
Amazon rating
7.4
Based on 7,147 frontline employees who took The Breakroom Quiz
5th of 39 rated national retailers
Job description
You will build and ship large-scale relevance and ranking models that measurably reduce the rate at which customers see irrelevant results, working on problems that span query understanding, semantic matching, and contextual ranking at Amazon scale.
Key job responsibilities
- Design, train, and ship deep-learning ranking and semantic-matching models that improve search relevance and reduce how often customers see irrelevant results, across hard query types.
- Build the training data and evaluation methods that make these models work: synthetic and historical labels, hard-negative mining, and targeted sampling at the cases where search fails.
- Develop signals that match product attributes to what the customer actually asked for.
- Run offline and online A/B experiments, analyze precision/recall tradeoffs, and iterate to launch.
- Work with engineers and scientists across teams to take models from prototype to production at Amazon scale.
A day in the life
You work alongside scientists and engineers on some of the hardest open problems in search relevance, teaching models to understand what customers really mean when they ask for something specific and nuanced. A typical day blends model development and data curation with sharp experiment analysis: diagnosing where search breaks down for a query segment, designing the fix, and proving the gains through offline metrics and live A/B tests that reach real Amazon customers. The work spans the full range, from surgical fixes that resolve stubborn failure pattern to broad modeling changes that move relevance for millions of queries at once. You'll see your ideas go from whiteboard to production fast, present results regularly to wider team, and help shape the team's relevance roadmap worldwide.
About the team
We are the science team behind Amazon's semantic search relevance and ranking. We own the models that understand nuanced, multi-constraint shopping queries and show products customers actually want. We operate close to production, measure ourselves on real customer-impact metrics, and run a culture of fast, rigorous experimentation. Every model decision is grounded in data.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications
PREFERRED QUALIFICATIONS
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- Experience with A/B testing
- Experience in practical work applying ML to solve complex problems for large scale applications
- Publications in ML, IR, or NLP venues (e.g., NeurIPS, ICML, SIGIR, KDD, ACL)
- Experience training large-scale or deep neural ranking/relevance models
- Experience taking ML models from prototype to production
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US