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Machine Learning Acceleration Jobs (NOW HIRING)

ExtendMyTeam

Machine Learning Engineer

Austin, TX

... accelerate software delivery, and streamline implementation processes across a large-scale delivery ... Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ...

Avride

Machine Learning Engineer

Austin, TX · On-site

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 ...

LeanData

Machine Learning Engineer

Santa Clara, CA

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next ... agentic AI, to accelerate algorithm development, data generation, and performance ...

Avride

Machine Learning Engineer

Austin, TX

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 ...

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Machine Learning Acceleration information

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$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?

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 May 2026, with employment types broken down into 1% As Needed, 75% Full Time, and 24% Part Time. 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.
ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

Amazon

Cupertino, CA

Full-time

Posted 6 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,804 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

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, our custom designed machine learning inference datacenter server

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 Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.
Key job responsibilities
As an ASIC Design Engineer, you will:
Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets
Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements
Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints
Execute lint and clock domain crossing quality checks to ensure design integrity
Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts
The ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem-solving skills. Experience with high-performance and power-efficient designs is highly desirable.
You will thrive in this role if you:
- Have a "Learn and Be Curious" mindset
- Have familiarity with key components such as interconnects, DMAs, Memory sub-systems, accelerator engines, debug and system level architectures
- Have a strong drive to innovate, explore new solutions, and contribute to the company's intellectual property through patents
About the team
Inclusive Team Culture
Here at AWS, 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 16 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
We are open to hiring candidates to work out of one of the following locations:
Cupertino, CA, USA | Austin, TX, USA

What Amazon employees say

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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

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