1

Amazon Nlp Jobs (NOW HIRING)

The Amazon Search team creates customer-focused search solutions and technologies. Whenever a ... Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR.

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 Jul 1, 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:
Software Development Manager, Worldwide Returns & ReCommerce

Software Development Manager, Worldwide Returns & ReCommerce

Amazon

Bellevue, WA • On-site

$139K - $184K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,918 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com.
WWR&R is an agile, innovative organization dedicated to 'making zero happen' to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing novel products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future - we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon - Returns & ReCommerce.
Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus.
You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems.
We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth.
Amazon is earth's most customer-centric company and through WWRR&S, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team!
Key job responsibilities
• 3+ years managing software development or machine learning engineering teams, including hiring, mentoring, and developing technical talent
• 4+ years architecting large-scale model hosting infrastructure, low-latency inference runtimes, and end-to-end model management workflows
• 2+ years of hands-on programming experience in Java, C++, Python, or related languages, with a focus on writing highly optimized, production-ready code
• Proficiency in Natural Language Processing (NLP), Computer Vision (CV), and core machine learning (ML) engineering design patterns.
• Proven experience in Operational Excellence (DevOps/MLOps), Data Engineering/Pipelines, and Cross-Functional Leadership (collaboration with Applied Science and Product teams).
• Excellent oral and written communication skills, with the ability to communicate complex system architectures, MLOps strategies, and AI solutions to all levels of the organization
About the team
The Worldwide Returns & Recommerce (WWRR) Science & Tech team owns a complex multi-disciplinary scope: building the AI and machine learning infrastructure that powers Amazon's global reverse logistics. Operating across the Online Return Center (ORC), Item Grading, and Transportation verticals, we deploy NLP, Computer Vision (CV), and Classical ML to solve high-stakes engineering and asset-optimization challenges at scale.
Returns are growing in volume and complexity. We meet this challenge by engineering production AI/ML platforms that automate decision-making, maximize financial recovery, and optimize processing efficiency from the exact moment a customer initiates a return through every physical touchpoint.
By joining this team, you will design the high-throughput model hosting infrastructure, intelligent grading pipelines, and low-latency inference runtimes that directly accelerate the R&R flywheel-transforming global recommerce into a world-class operation.
BASIC QUALIFICATIONS
- 3+ years of engineering team management experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
PREFERRED QUALIFICATIONS
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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, Bellevue - 184,900.00 - 250,200.00 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