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 ...
... solve natural language processing and language understanding challenges. Key job responsibilities Design and develop data annotation guidelines and workflows. Manage and process large amounts of ...
... solve natural language processing and language understanding challenges. Key job responsibilities Design and develop data annotation guidelines and workflows. Manage and process large amounts of ...
Principal Applied Scientist, Amazon Payments
Seattle, WA · On-site
$198.90 - $269/hr
Amazon payments recommendation and natural language processing for SOP automation. You will work with talented peers and leverage Amazon's heterogeneous data sources and large-scale computing ...
Principal Applied Scientist, Amazon Payments
Seattle, WA · On-site
$198.90 - $269/hr
Amazon payments recommendation and natural language processing for SOP automation. You will work with talented peers and leverage Amazon's heterogeneous data sources and large-scale computing ...
Senior Researcher - Deep Learning - Microsoft Research
Redmond, WA · On-site
$160K - $261K/yr
An ideal candidate is passionate about the next generation of deep learning technologies, foundation models and their real-world impact on computer vision, natural language processing, and multi ...
Senior Researcher - Deep Learning - Microsoft Research
Redmond, WA · On-site
$160K - $261K/yr
An ideal candidate is passionate about the next generation of deep learning technologies, foundation models and their real-world impact on computer vision, natural language processing, and multi ...
Amazon payments recommendation and natural language processing for SOP automation. You will work with talented peers and leverage Amazon's heterogeneous data sources and large-scale computing ...
Amazon payments recommendation and natural language processing for SOP automation. You will work with talented peers and leverage Amazon's heterogeneous data sources and large-scale computing ...
Machine Learning Engineer - Natural Language Generation, Input Experience
Seattle, WA · On-site
$139.50 - $258.10/hr
Solid background in machine learning, data science, natural language processing, or statistics Preferred Qualifications * Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis ...
Machine Learning Engineer - Natural Language Generation, Input Experience
Seattle, WA · On-site
$139.50 - $258.10/hr
Solid background in machine learning, data science, natural language processing, or statistics Preferred Qualifications * Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis ...
Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal ...
Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal ...
Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal ...
Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal ...
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 ...
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 ...
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 ...
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 ...
Senior Data Scientist
Seattle, WA · On-site
Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.
Senior Data Scientist
Seattle, WA · On-site
Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.
Senior Data Scientist
Kirkland, WA · On-site
Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.
Senior Data Scientist
Kirkland, WA · On-site
Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.
Senior Data Scientist
Redmond, WA · On-site
Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.
Senior Data Scientist
Redmond, WA · On-site
Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.
... natural language processing (NLP), generative AI, and multi-agent workflows. It's a high-impact, technically exciting space where science directly translates into measurable outcomes for hundreds of ...
... natural language processing (NLP), generative AI, and multi-agent workflows. It's a high-impact, technically exciting space where science directly translates into measurable outcomes for hundreds of ...
... natural language processing (NLP), generative AI, and multi-agent workflows. It's a high-impact, technically exciting space where science directly translates into measurable outcomes for hundreds of ...
... natural language processing (NLP), generative AI, and multi-agent workflows. It's a high-impact, technically exciting space where science directly translates into measurable outcomes for hundreds of ...
We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to enhance customer service associate and customer ...
We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to enhance customer service associate and customer ...
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or ...
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or ...
Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical ...
Your focus will span across natural language processing (NLP), generative AI (GenAI), large language models (LLMs), and scalable data systems. You will be expected to tackle complex technical ...
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or ...
We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or ...
Senior Applied Scientist , Alexa AI Aurora
Bellevue, WA · On-site
$103K - $141K/yr
You will be working on advancing technologies in the fields of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP). As part of this role, you will collaborate with talented peers ...
Senior Applied Scientist , Alexa AI Aurora
Bellevue, WA · On-site
$103K - $141K/yr
You will be working on advancing technologies in the fields of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP). As part of this role, you will collaborate with talented peers ...
Natural Language Processing information
See Seattle, WA salary details
$16.14 - $19.67
19% of jobs
$20.38 is the 25th percentile. Wages below this are outliers.
$19.67 - $23.20
31% of jobs
$23.20 - $26.73
7% of jobs
$26.73 - $30.27
6% of jobs
$32.69 is the 75th percentile. Wages above this are outliers.
$30.27 - $33.80
17% of jobs
$33.80 - $37.33
8% of jobs
$37.33 - $40.86
2% of jobs
$40.86 - $44.39
2% of jobs
$44.39 - $47.92
6% of jobs
$47.92 - $51.45
1% of jobs
$51.45 - $54.99
0% of jobs
$16
$28
$54
How much do natural language processing jobs pay per hour?
As of Aug 15, 2026, the average hourly pay for natural language processing in Seattle, WA is $28.99, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $33.65 per hour, depending on experience, location, and employer.
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.
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.
Is natural language processing a good career?
Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.
What can I do with Natural Language Processing?
A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.
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:
Amazon rating
7.4
Based on 7,089 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
The Catalog Services Product Knowledge team is seeking an Applied Scientist for the Catalog Services organization. Our vision is simple: build AI systems that are capable of a deep product understanding, so we can organize and scale the catalog metadata (schema) for Amazon e-commerce catalog worldwide. This is a complex problem because the magnitude of products entities (attributes, values, constraints) to be modeled to cover all the Amazon products worldwide.
You will work on initiatives (models, artifacts) aim to solve the problem of producing Catalog schema with less reliance on humans and deliver them into the Amazon production ecosystem. Your efforts will build a robust ensemble of ML and GenAI techniques that will scale our catalog artifacts with a high precision across countries and languages.
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 schema and support the largest e-commerce catalog and impact million of customers. The team builds solutions ranging from automatic generation of product metadata, classification of entities, validation of concepts against customer traffic, creation of agents solving complex tasks mimicking human decisions at high precision, etc; all these developments drive true understanding of products at scale.
The ideal candidate has deep expertise in one or several of the following fields: Generative AI, Agents, LLMs, Web search, Applied/Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing.
S/he has a strong publication record at relevant academic venues and proven experience in launching products/features in the industry.
Key job responsibilities
- Formulate open research problems at the intersection of GenAI, multimodal reasoning, and large-scale information retrieval-defining the scientific questions that transform ambiguous, real-world catalog challenges into models applied to production with high-impact
- Push the boundaries of models and agentic architectures by designing novel approaches to catalog understanding, schema inference, where the problem complexity (billions of products) demands methods that don't yet exist
- Make frontier models reliable-advancing uncertainty calibration, confidence estimation, and interpretability methods so that frontier-scale GenAI systems can be trusted for autonomous catalog decisions
- Own the full research lifecycle from problem formulation through production deployment, designing rigorous experiments, iterating on ideas rapidly, and seeing your research directly improve data and catalog operations
- Shape the team's research vision by defining technical roadmaps that balance foundational scientific inquiry with measurable product impact
- Represent the team in the broader science community, publishing findings, delivering tech talks, and staying at the forefront of GenAI, and agentic system research
About the team
The team's mission is to infer knowledge, understand, and derive product schema for all Amazon products entering the Catalog. The work is critical to power drive policies on how products will be merchandised, guide Selling Partners, inform models how to infer attributes. All this information drives the navigational Taxonomy, Search and Detail Page experiences, impacting million of customers
The scientist collaborates closely with teams across the organization and outside the Catalog (Search, Personalization, etc) that rely on this team's developments.
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 and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US