1

Amazon Nlp Jobs (NOW HIRING)

SDE II, Same Day Delivery

Bellevue, WA · On-site

$110K - $150K/yr

Are you interested in helping Amazon make history and redefine the meaning of 'fast' in eCommerce? ... Language Processing (NLP), prompt engineering, and agentic AI workflows to enhance customer ...

Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker ... NLP computer vision and recommendation systems Maintain compliance with security and governance ...

Design and implement end-to-end machine learning ML pipelines using services such as Amazon ... Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and ...

next page

Showing results 1-20

Amazon Nlp information

See salary details

$37.5K

$122.7K

$196.5K

How much do amazon nlp jobs pay per year?

As of Jun 5, 2026, the average yearly pay for amazon nlp in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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 NLP Specialist at Amazon, and why are they important?

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.
More about Amazon Nlp jobs
What cities are hiring for Amazon Nlp jobs? Cities with the most Amazon Nlp job openings:
What states have the most Amazon Nlp jobs? States with the most job openings for Amazon Nlp jobs include:
Infographic showing various Amazon Nlp job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 80% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Applied Scientist II - P13N, Shopping Intent

Applied Scientist II - P13N, Shopping Intent

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,811 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

Are you interested in big data, machine learning, LLM, and product recommendations? If so, Amazon's Personalization team might be the right place for you.
About our organization:
We are part of Amazon's Personalization organization, a high-performing group with a huge impact on hundreds of millions of customers, innovating at the intersection of customer experience, machine learning, and large-scale distributed systems. We run global experiments and our work has revolutionized e-commerce with features such as "Compare with similar items", "Keep shopping for ...", "Customers who bought this item also bought", and, "Frequently bought together" among others.
Amazon's internal surveys regularly recognize us as one of the best organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continuous opportunity to learn and grow.
About you:
You are an Applied Scientist who loves big data and passionate about improving customer shopping experience by inventing and applying state-of-art technologies (e.g., LLM, Machine Learning, NLP, and Computer Vision) to build the next-generation product recommendation engine for Amazon. You have an entrepreneurial spirit, know how to deliver, are deeply technical and highly innovative. You work closely with software engineers to put algorithms into production. You also work in partnership with teams across Amazon to create enormous benefits for our customers. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of products used every day by people you know.
Key job responsibilities
Use machine learning and analytical techniques to create scalable solutions for business problems
Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
Design, development and evaluation of highly innovative models for predictive learning
Work closely with software engineering teams to drive model implementations and new feature creations
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Research and implement novel machine learning and statistical approaches
Mentor junior scientists; review their work and provide feedback
About the team
Our mission is to delight every Amazon customer with a personalized shopping experience. We achieve our mission through investments in large-scale machine learning and distributed system solutions with the purpose of delivering the future of shopping on Amazon. Our solutions help customers explore product categories, discover high quality products that meet their needs, and provide most relevant information to help customers make confident shopping decisions. We are seeking an Applied Scientist to make step function improvements in creating a delightful shopping experience.
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 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.
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

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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