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Amazon Learning Jobs (NOW HIRING)

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139.40K - $183.80K/yr

Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best ...

Amazon

Sr. Applied Scientist, Amazon Advertising

Seattle, WA · On-site

$104.10K - $142.30K/yr

As a Senior Applied Scientist on this team, you will: - Be the technical leader in Machine Learning ... Amazon is investing heavily in building a world-class advertising business. This team defines and ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139.40K - $183.80K/yr

Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa ... You: As a Sr. Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a ...

Amazon

Machine Learning Compiler Engineer

Cupertino, CA · On-site

Amazon's Machine Learning accelerators are at the forefront of our innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ...

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$77.4K

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How much do amazon learning jobs pay per year?

As of May 29, 2026, the average yearly pay for amazon learning in the United States is $77,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $87,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Learning Specialist, and why are they important?

To thrive as an Amazon Learning Specialist, you need a solid background in instructional design, adult learning theory, and facilitation, typically supported by a degree in education or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and data analytics platforms is often required. Strong communication, adaptability, and collaboration skills help you effectively engage learners and partner with cross-functional teams. These competencies ensure the creation and delivery of impactful learning solutions that drive employee development and organizational success.

What are the primary responsibilities of an Amazon Learning Specialist, and how do they support employee development?

Amazon Learning Specialists are responsible for designing, delivering, and evaluating training programs for employees across various departments. They work closely with subject matter experts to ensure learning materials are accurate, engaging, and aligned with business goals. On a typical day, they may facilitate instructor-led sessions, update e-learning modules, and gather feedback to improve future offerings. Collaboration with managers and team leads is essential to identify skill gaps and create targeted development plans, making this role pivotal in driving continuous improvement and employee growth at Amazon.

What is an Amazon Learning Specialist?

An Amazon Learning Specialist is a professional responsible for designing, delivering, and managing training programs for Amazon employees. They focus on developing effective learning materials, facilitating classroom or virtual training sessions, and supporting employee development across various departments. Their goal is to enhance workforce skills and ensure staff are equipped to meet organizational goals. Learning Specialists often collaborate with managers and subject matter experts to identify training needs and evaluate the effectiveness of learning initiatives.

What is the difference between Amazon Learning vs Amazon Data Analyst?

AspectAmazon Learning
Required CredentialsTypically requires training certifications, e-learning courses, or instructional design experience
Work EnvironmentPrimarily in corporate training, e-learning development, or instructional design teams within Amazon
Employer & Industry UsageUsed in Amazon's internal training programs, onboarding, and skill development initiatives
Common Search & Comparison IntentPeople compare Amazon Learning with roles focused on training, education, or instructional design within Amazon

Amazon Learning focuses on developing training programs and educational content for Amazon employees, emphasizing instructional design and e-learning. In contrast, Amazon Data Analysts analyze data to inform business decisions, requiring skills in data analysis, SQL, and statistics. While both roles support Amazon's operations, Amazon Learning centers on education and training, whereas Amazon Data Analysts focus on data-driven insights.

More about Amazon Learning jobs
What cities are hiring for Amazon Learning jobs? Cities with the most Amazon Learning job openings:
What job categories do people searching Amazon Learning jobs look for? The top searched job categories for Amazon Learning jobs are:
Amazon Learning jobs near you
Infographic showing various Amazon Learning job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 5% Part Time, 4% Contract, and 4% Summer. Highlights an 92% Physical, and 8% Remote job distribution, with an average salary of $77,379 per year, or $37.2 per hour.
Senior Machine Learning Compiler Engineer

Senior Machine Learning Compiler Engineer

Amazon

Seattle, WA • On-site

$139.40K - $183.80K/yr

Full-time

Posted 14 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,784 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

The Product: Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud.

This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments.
The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations


The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the Amazon Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance.
You: As a Sr

Machine Learning Compiler Engineer III on the Amazon Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to Amazon ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects.

A background in Machine Learning and AI accelerators is preferred, but not required.
In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle.
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About Amazon

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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

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