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Amazon Nlp Jobs in Washington (NOW HIRING)

You will work with GovCloud-hosted foundation models on Amazon Bedrock, build hybrid retrieval over ... Develop and evaluate NLP, OCR, computer vision, embedding, retrieval, and LLM-based approaches for ...

Senior Machine Learning Engineer

Reston, VA · Hybrid

$108K - $149K/yr

You will work with GovCloud-hosted foundation models on Amazon Bedrock, build hybrid retrieval over ... Develop and evaluate NLP, OCR, computer vision, embedding, retrieval, and LLM-based approaches for ...

New

Senior Machine Learning Engineer

Reston, VA · Remote

$107K - $146K/yr

You will work with GovCloud-hosted foundation models on Amazon Bedrock, build hybrid retrieval over ... OCR post-processing, layout-aware parsing, table and form extraction, NLP/LLM structured ...

New

Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine ... Proficient in Natural language processing (NLP) and Natural language generation (NLG) including ...

... and Amazon Code Whisperer. • Develop Cognitive Solutions: Create comprehensive cognitive ... Utilize expertise in one of the following areas - NLP, Image Processing, Video Processing, Voice ...

The ideal candidate brings deep expertise in Natural Language Processing (NLP), large-scale data ... Amazon Web Services cloud environment. Willing to consider substituting C2S if candidate has a ...

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Amazon Nlp information

See Washington salary details

$42.5K

$139K

$222.6K

How much do amazon nlp jobs pay per year?

As of Aug 31, 2026, the average yearly pay for amazon nlp in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What is an Amazon NLP specialist?

An Amazon NLP (Natural Language Processing) specialist is a professional who works with Amazon's AI and machine learning tools to analyze, understand, and process human language data. They develop and improve algorithms that allow machines to interpret text and speech, supporting features like Alexa voice recognition, product recommendations, and customer service chatbots. These specialists typically have expertise in linguistics, data science, and programming. Their work helps Amazon enhance user experiences by enabling more natural and accurate interactions between humans and technology.

What are the key skills and qualifications needed to thrive as an Amazon NLP specialist?

To thrive as an NLP Specialist at Amazon, you need a strong background in computer science, machine learning, and linguistics, often supported by advanced degrees and experience with NLP research. Proficiency with Python, deep learning frameworks (like PyTorch or TensorFlow), AWS services, and NLP libraries such as SpaCy or Hugging Face is typically required. Outstanding problem-solving abilities, collaboration, and communication skills help you translate complex language data into scalable solutions. These skills are essential for developing innovative language technologies that power Amazon's products and improve customer experiences.

How does an Amazon NLP specialist typically collaborate with other teams within the organization?

As an Amazon NLP specialist, collaboration with cross-functional teams such as software engineers, data scientists, product managers, and UX designers is a key part of the role. You will regularly participate in meetings to define project requirements, discuss data annotation strategies, and integrate NLP models into larger product pipelines. Effective communication is essential for aligning on business goals and ensuring that NLP solutions are scalable and meet user needs. Additionally, you'll often contribute to code reviews and share best practices to enhance the overall quality of deployed NLP systems.

Are Amazon NLP engineers in demand?

Amazon NLP engineers are in high demand due to the company's focus on natural language processing technologies for products like Alexa and customer service automation. Skills in machine learning, deep learning, and tools such as Python and TensorFlow enhance job prospects in this field. The demand for NLP expertise is expected to grow as companies increasingly rely on AI-driven language solutions.

What cities in Washington are hiring for Amazon Nlp jobs?

Cities in Washington with the most Amazon Nlp job openings:

Infographic showing various Amazon Nlp job openings in Washington as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

Applied Scientist, PXT Central Science

Amazon

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,130 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We are seeking an Applied Scientist to build production machine learning systems that solve complex business problems at scale. You will design, develop, and deploy ML solutions that directly impact millions of users and drive strategic decision-making across the organization.
In this role, you will work on challenging problems spanning predictive modeling, natural language processing, recommendation systems, and generative AI applications. You will collaborate with cross-functional teams to translate ambiguous business challenges into rigorous technical solutions.
Key job responsibilities
- Design and deploy large-scale machine learning systems in production environments
- Develop innovative ML solutions using state-of-the-art techniques including deep learning, NLP, and generative AI
- Create ML solutions that personalize manager on-boarding and development experiences - identifying individual capability gaps, recommending tailored learning pathways, and measuring development effectiveness across diverse manager populations and contexts
- Partner to build causal inference models and experimental frameworks to measure impact
- Collaborate with product managers, engineers, and business leaders to define technical roadmaps
- Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership
About the team
The People eXperience and Technology Central Science Team (PXTCS) uses economics, applied science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, San Francisco - 171,600.00 - 222,200.00 USD annually
USA, MA, Boston - 142,800.00 - 193,200.00 USD annually
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

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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