ZipRecruiter

Log In

1

Director Aws Machine Learning Jobs (NOW HIRING)

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Understanding of CI/CD pipelines for ML deployment. Primary Skills * Python * Machine Learning * Deep Learning

West Monroe

Director - AWS Platform Services

Chicago, IL · On-site

$66.75 - $87.50/hr

We are seeking a Director to lead and scale our strategic partnership with Amazon Web Services (AWS ... Foster a culture of technical excellence, innovation, and continuous learning Qualifications * 12 ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Putting your model into production using AWS or GCP. Required Qualifications * BS. in Computer ...

CGI Inc.

Senior AWS Cloud Engineer

Lafayette, LA · On-site

$53.25 - $71.25/hr

... Direct Connect. • Maintain compliance with federal cybersecurity requirements and support ATO ... AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical ... Experience with Linux, Docker and AWS, and basic development operations. * Advanced degree in ...

previous page

Showing results 41-60

All JobsAws Machine Learning JobsDirector Aws Machine Learning Jobs

Director Aws Machine Learning information

See salary details

$36K

$91.9K

$141K

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

As of Aug 6, 2026, the average yearly pay for director aws machine learning in the United States is $91,932.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $106,000.00 per year, depending on experience, location, and employer.

How much does a director of AWS machine learning make?

A director of AWS machine learning typically earns between $150,000 and $250,000 annually, depending on experience, location, and company size. They often have advanced skills in cloud services, machine learning frameworks, and leadership, which influence compensation levels.
More about Director Aws Machine Learning jobs
What cities are hiring for Director Aws Machine Learning jobs? Cities with the most Director 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:
What states have the most Director Aws Machine Learning jobs? States with the most job openings for Director Aws Machine Learning jobs include:
What job categories do people searching Director Aws Machine Learning jobs look for? The top searched job categories for Director Aws Machine Learning jobs are:
Director Aws Machine Learning jobs near you
Infographic showing various Director Aws Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $91,932 per year, or $44.2 per hour.

C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems

Amazon

Austin, TX • On-site

Full-time

Re-posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,062 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity.

Join us in shaping the future of AI acceleration
At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips.
Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers

From the ground up, you'll help build the foundation that makes this vision possible.
the Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and we invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs!
https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips
This is a fast-paced, challenging position, where 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 our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry


No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding.
Key job responsibilities
- Software / hardware architecture and co-design
- Bare metal C/C++ software development, testing, debug, and performance improvements
- Test suite and infrastructure development
- Developing software which can be maintained, improved upon, documented, tested, and reused
- Close collaboration with RTL designers, design verification engineers, other software teams and customers

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

View All Amazon Jobs

Apply