1

Machine Learning Acceleration Jobs (NOW HIRING)

With the recent launch of our robotaxi service in Dallas , we are accelerating innovation and ... Our team builds self-driving solutions from the ground up, with machine learning at the core of our ...

With the recent launch of our robotaxi service in Dallas , we are accelerating innovation and ... Our team builds self-driving solutions from the ground up, with machine learning at the core of our ...

next page

Showing results 1-20

Machine Learning Acceleration information

See salary details

$14

$21

$25

How much do machine learning acceleration jobs pay per hour?

As of Jul 18, 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?

AspectMachine Learning AccelerationData Scientist
Required CredentialsKnowledge of hardware, programming, and ML frameworksDegree in CS, statistics, or related field; data analysis skills
Work EnvironmentTech companies, research labs, hardware firmsBusiness, tech, finance, healthcare sectors
Industry UsageOptimizing ML model training and inferenceAnalyzing 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.

Infographic showing various Machine Learning Acceleration job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 47% As Needed, 37% Full Time, 6% Part Time, 1% Contract, and 8% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning

Sr. PD Methodology Engineer, Annapurna Labs - Cloud Scale Machine Learning

Amazon

Austin, TX

$103K - $142K/yr

Full-time

Re-posted 27 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Annapurna Labs (our organization within AWS Utility Computing) 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.
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world

We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.
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 and optimization of hardware in our data centers including AWS Inferentia, Trainium Systems (our custom designed machine learning inference and training datacenter servers). Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies

We're looking for an ASIC Physical Design Methodology Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.
Key job responsibilities
Define, develop and deploy innovative physical design and verification methodologies (RTL2GDS) for ML Accelerator chips in advanced nodes
Drive Optimizations in CAD flows/methodologies for PPA and TAT improvements
Work with EDA tool vendors to evaluate new methods, resolve bugs, improve usability.
Fine tune cloud infrastructure to improve compute and storage utilization for physical design work.
Interface directly with RTL, Physical Design, Package Design, DFT teams to improve methodologies and efficiencies.
Be able to independently troubleshoot digital tool flow usage and deploy solutions;
Fluent in scripting languages such as TCL, Python, etc. and able to build scalable and efficient flows to support parallel design developments
Create Dashboard and Central reports for project tracking and visualizing QoR/stats
A day in the life


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