ZipRecruiter

Log In

1

Machine Learning Manager Jobs in Arizona (NOW HIRING)

dbi

Alterations Intern

Scottsdale, AZ

... management process, from learning how and when a product is sold, what happens when it is received ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

Vangard, Inc.

AI/ML Product Manager

Scottsdale, AZ

AI/ML Product Manager As an AI/ML Product Manager at Vanguard, you'll help shape how artificial intelligence (AI) and machine learning (ML) enable better outcomes for our clients and our crew. In ...

Deloitte

AI Data Engineer - Manager

Tempe, AZ · On-site

... manage machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on ...

Deloitte

AI Data Engineer Manager

Tempe, AZ · On-site

... manage machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on ...

Deloitte

Manager - Data Science / Data Lake

Tempe, AZ · On-site

Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

New

Deloitte

AI Solutions Leader

Tempe, AZ

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

Deloitte

AI Data Engineer Manager

Tempe, AZ

$109.70K - $131.70K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer ... Risk Management and Ethical Considerations * Work closely with security and risk leaders to foresee ...

Deloitte

AI Data Engineer - Manager

Tempe, AZ

$109.70K - $131.70K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer ... Risk Management and Ethical Considerations * Work closely with security and risk leaders to foresee ...

Pwc

CTIO AI Engineering Manager

Phoenix, AZ · On-site

$73.50K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Arizona

Machine Learning Manager information

See Arizona salary details

$47.5K

$76.1K

$110K

How much do machine learning manager jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning manager in Arizona is $76,143.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $86,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Arizona? The most popular types of Machine Learning jobs in Arizona are:
What are popular job titles related to Machine Learning Manager jobs in Arizona? For Machine Learning Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Machine Learning Manager jobs in Arizona look for? The top searched job categories for Machine Learning Manager jobs in Arizona are:
Machine Learning Manager jobs near you
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 18 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,784 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

View All Amazon Jobs

Apply