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Amazon Machine Learning Jobs in Arizona (NOW HIRING)

Deloitte

AI Solutions Architect

Tempe, AZ

$60.25 - $79.50/hr

Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks * Ability to ...

Deloitte

AI Data Engineer Senior Consultant

Tempe, AZ · On-site

$111.40K - $133.70K/yr

... machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management • 4+ years of experience using Amazon ...

Deloitte

AI and Data Science Engineer III

Tempe, AZ · On-site +1

$109.70K - $131.70K/yr

... machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management * 4+ years of experience using Amazon ...

Deloitte

Sr Databricks Data Engineer

Tempe, AZ · On-site

$111.40K - $133.70K/yr

... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of ... machine learning use cases on cloud data platforms Company : Deloitte is a business consulting ...

UVeye

CAD Engineer

Phoenix, AZ · On-site +1

$60K - $80K/yr

... machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz ...

Deloitte

Databricks Engineer

Tempe, AZ · On-site +1

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... Build, configure, and support Databricks environments across Microsoft Azure, Amazon Web Services ...

Carvana

Product Manager, Multiple Levels

Tempe, AZ · On-site

... Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as ... Support the design and development of a new collection of AI and Machine Learning vehicle routing ...

Carvana

Product Manager, Multiple Levels

Tempe, AZ · On-site

... Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as ... Support the design and development of a new collection of AI and Machine Learning vehicle routing ...

Carvana

Product Manager, Multiple Levels

Tempe, AZ

... Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as ... Support the design and development of a new collection of AI and Machine Learning vehicle routing ...

Deloitte

Finance Analytics & AI Manager

Tempe, AZ

One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft Azure, or Google Cloud Platform The wage range for this role takes into account the wide range ...

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Amazon Machine Learning information

See Arizona salary details

$23.8K

$39.7K

$82K

How much do amazon machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for amazon machine learning in Arizona is $39,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What is an Amazon Machine Learning job?

An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?

To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.

What types of projects and daily tasks can I expect in an Amazon Machine Learning position?

As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.
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Amazon Machine Learning jobs near you
Infographic showing various Amazon Machine Learning job openings in Arizona as of May 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Contract, 2% Nights, and 1% Summer. Highlights an 100% Physical job distribution, with an average salary of $39,683 per year, or $19.1 per hour.
Sr. Manager , Annapurna Labs - Cloud Scale Machine Learning Acceleration Team

Sr. Manager , Annapurna Labs - Cloud Scale Machine Learning Acceleration Team

Amazon

Tempe, AZ • On-site

$57.50 - $74.75/hr

Full-time

Posted 19 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,788 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

Annapurna Labs (our organization within AWS UC) 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.
Diverse Experiences
We value diverse experiences

Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Work/Life Balance
We value work-life harmony.

Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
It's in our nature to learn and be curious.

Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional


Key job responsibilities
- Lead and grow a team of SOC integration engineers responsible for critical deliverables in our ML accelerator chips
- Drive technical decisions across multiple disciplines (RTL, timing, DFT, physical design)
- Ensure on-time delivery of complex SOC integration milestones
- Establish and maintain best practices for top-level integration, including clock/reset architecture, CDC methodology, and quality metrics
- Interface with various stakeholders including architecture, verification, and physical design teams
You will thrive in this role if you:
- Have a proven track record leading SOC integration teams through successful tape-outs
- Excel at cross-functional leadership and can drive complex technical decisions across multiple teams
- Are passionate about developing engineers and implementing robust integration methodologies
- Have deep expertise in high-performance SOC design, including clock/reset architecture, timing closure, and CDC methodology
- Are data-driven and can effectively balance technical excellence with project execution
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 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.
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 and thorough, but kind, code reviews

We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered 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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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