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Online Aws Machine Learning Jobs (NOW HIRING)

Itransition Group

NY · On-site

$100 - $140/hr

Strong Python skills and experience with ML ecosystems (AWS Sagemaker, MLFlow) * Hands‑on experience working with tabular/time series data with usage of ML * Solid understanding of machine learning ...

LAZ Learning A-Z

Machine Learning Software Engineer II

$99K - $136K/yr

These solutions are provided through Learning A-Z (online differentiated instruction for elementary ... AWS Cloud Architecture & Deployment: Architect and deploy ML solutions utilizing AWS ECS (Elastic ...

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Online Aws Machine Learning information

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$17.5K

$40.6K

$86K

How much do online aws machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for online aws machine learning in the United States is $40,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,000.00 and $43,500.00 per year, depending on experience, location, and employer.

What is the difference between Online Aws Machine Learning vs Data Scientist?

AspectOnline Aws Machine LearningData Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, remote or office-basedResearch labs, corporate offices, remote
Industry UsageCloud services, AI solutions, tech companiesBusiness analytics, research, finance
Common Search/ComparisonYesNo

Online Aws Machine Learning focuses on deploying machine learning models using AWS cloud services, emphasizing cloud infrastructure and scalable solutions. Data Scientists analyze data, develop models, and interpret results across various industries. While both roles involve machine learning, Online Aws Machine Learning is more specialized in cloud deployment, whereas Data Scientists focus on data analysis and model development.

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Cities with the most Online Aws Machine Learning job openings:

What are the most commonly searched types of Aws Machine Learning jobs?

The most popular types of Aws Machine Learning jobs are:

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Online Aws Machine Learning jobs near you

Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs

Amazon

Seattle, WA • Hybrid

Full-time

Re-posted 29 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,147 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler.

The SDK natively integrates into popular ML frameworks, such as PyTorch, JAX and TensorFlow. AWS Neuron is widely adopted by many internal and external customers and partners.
Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations

We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success
We are seeking an exceptional Software Engineering Manager to lead portion of our Deep-Learning Backend Compiler team at AWS Neuron

You will manage a team of talented compiler engineers focused on machine learning compiler design and development. In this role, you will drive the design and implementation of ML compiler solutions, develop advanced optimization techniques, lead hardware bring-up for next-generation chips, and influence pre-silicon design decisions while mentoring your team. This position offers the opportunity to directly impact AWS's machine learning infrastructure and accelerate the delivery of innovative products and features to market.
Explore the Product:
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html,
https://github.com/aws/aws-neuron-sdk https://aws.amazon.com/machine-learning/neuron/, https://aws.amazon.com/machine-learning/neuron/
A day in the life
About the team
Inclusive Team Culture Here at Annapurna Labs, we embrace our differences

We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences.

Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life.

We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members.

We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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