As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers You'll provide leadership in the application of new ...
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers You'll provide leadership in the application of new ...
As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing hardware in our data centers, including AWS Inferentia and Trainium systems-our ...
As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing hardware in our data centers, including AWS Inferentia and Trainium systems-our ...
Proven track record 5+ years architecting hardware solutions for Machine Learning, acceleration and optimization. * Experience with deep learning frameworks including TensorFlow, PyTorch ...
Proven track record 5+ years architecting hardware solutions for Machine Learning, acceleration and optimization. * Experience with deep learning frameworks including TensorFlow, PyTorch ...
Proven track record of 5+ years architecting software solutions for Machine Learning, acceleration and optimization, especially in large distributed training system and HPC area. * Experience with ...
Proven track record of 5+ years architecting software solutions for Machine Learning, acceleration and optimization, especially in large distributed training system and HPC area. * Experience with ...
Proven track record of 5+ years architecting software solutions for Machine Learning, acceleration and optimization, especially in large distributed training system and HPC area. * Experience with ...
Proven track record of 5+ years architecting software solutions for Machine Learning, acceleration and optimization, especially in large distributed training system and HPC area. * Experience with ...
Machine Learning System Hardware Architect
Sunnyvale, CA · On-site
$285.20K/yr
Proven track record 5+ years architecting hardware solutions for Machine Learning, acceleration and optimization. * Experience with deep learning frameworks including TensorFlow, PyTorch ...
Machine Learning System Hardware Architect
Sunnyvale, CA · On-site
$285.20K/yr
Proven track record 5+ years architecting hardware solutions for Machine Learning, acceleration and optimization. * Experience with deep learning frameworks including TensorFlow, PyTorch ...
About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design ...
About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design ...
About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design ...
About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design ...
Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$103.60K - $136.80K/yr
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers You'll provide leadership in the application of new ...
Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$103.60K - $136.80K/yr
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers You'll provide leadership in the application of new ...
Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$103.60K - $136.80K/yr
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers You'll provide leadership in the application of new ...
Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$103.60K - $136.80K/yr
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers You'll provide leadership in the application of new ...
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
Machine Learning Engineer
$175K - $250K/yr
Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... Your work will influence our trading strategies by accelerating experimentation cycles that foster ...
Machine Learning Engineer
$175K - $250K/yr
Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... Your work will influence our trading strategies by accelerating experimentation cycles that foster ...
Sr. Manager , Annapurna Labs - Cloud Scale Machine Learning Acceleration Team
Austin, TX · On-site
$59.50 - $77.25/hr
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
Sr. Manager , Annapurna Labs - Cloud Scale Machine Learning Acceleration Team
Austin, TX · On-site
$59.50 - $77.25/hr
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
Machine Learning Engineer
$175K - $250K/yr
Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... Your work will influence our trading strategies by accelerating experimentation cycles that foster ...
Machine Learning Engineer
$175K - $250K/yr
Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a ... Your work will influence our trading strategies by accelerating experimentation cycles that foster ...
ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration
Austin, TX · On-site
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration
Austin, TX · On-site
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration
Austin, TX · On-site
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration
Austin, TX · On-site
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
Machine Learning Engineer
Chicago, IL · On-site
$175K - $250K/yr
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... Your work will influence our trading strategies by accelerating experimentation cycles that foster ...
Machine Learning Engineer
Chicago, IL · On-site
$175K - $250K/yr
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... Your work will influence our trading strategies by accelerating experimentation cycles that foster ...
Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
$103.60K - $142.20K/yr
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, Trainium Systems (our ...
Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning
$103.60K - $142.20K/yr
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, Trainium Systems (our ...
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs
Cupertino, CA · On-site
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs
Cupertino, CA · On-site
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed ...
Machine Learning Acceleration information
See salary details
$14.90 - $15.91
4% of jobs
$15.91 - $16.91
3% of jobs
$16.91 - $17.92
10% of jobs
$18.55 is the 25th percentile. Wages below this are outliers.
$17.92 - $18.92
13% of jobs
$18.92 - $19.93
13% of jobs
The median wage is $20.52 / hr.
$19.93 - $20.94
13% of jobs
$20.94 - $21.94
11% of jobs
$22.72 is the 75th percentile. Wages above this are outliers.
$21.94 - $22.95
12% of jobs
$22.95 - $23.95
14% of jobs
$23.95 - $24.96
6% of jobs
$24.96 - $25.96
2% of jobs
$14
$21
$25
How much do machine learning acceleration jobs pay per hour?
As of Jun 3, 2026, the average hourly pay for machine learning acceleration in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.
What is the difference between Machine Learning Acceleration vs Data Scientist?
| Aspect | Machine Learning Acceleration | Data Scientist |
|---|---|---|
| Required Credentials | Knowledge of hardware, programming, and ML frameworks | Degree in CS, statistics, or related field; data analysis skills |
| Work Environment | Tech companies, research labs, hardware firms | Business, tech, finance, healthcare sectors |
| Industry Usage | Optimizing ML model training and inference | Analyzing data, building models, deriving insights |
Machine Learning Acceleration focuses on enhancing the speed and efficiency of ML model training and deployment through hardware and software optimization. Data Scientists analyze data, develop models, and interpret results. While both roles involve machine learning, acceleration specialists optimize performance, whereas Data Scientists focus on data analysis and model development.
Full-time
Posted 17 days ago
Amazon rating
7.4
Based on 6,804 frontline employees who took The Breakroom Quiz
7th of 39 rated national retailers
Job description
Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers
You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost.
We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of AWS users.
About the team
In 2015, Annapurna Labs was acquired by Amazon Web Services (AWS)
Since then, we have accelerated its innovation and developed a number of products that benefit cloud customers, including AWS Nitro technology, Inferentia custom Machine Learning chips, and AWS Graviton2 processors.
Annapurna Labs is a silicon/system and software organization that is delivering all the chips used by AWS customers. Today this includes: Graviton, driving innovation for general purpose compute; Nitro, driving networking and storage scale, security and Hypervisor offload, and Machine Learning (ML) Trainium and Inferentia that are enabling customers to train and run GenAI applications permanently while keeping costs under control.
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