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Mobile Machine Learning Jobs in Arizona (NOW HIRING)

Carvana

Product Manager, Multiple Levels

Tempe, AZ · On-site

... mobile apps. * AI-driven customer support across chat, email, SMS, and voice, as well as a ... Support the design and development of a new collection of AI and Machine Learning vehicle routing ...

Verra Mobility

Senior Software Developer

Mesa, AZ

$54 - $71.50/hr

... mobile applications. * Develop high-quality software with an eye for design and usability ... Knowledge of Machine learning, AI concepts, and Blockchain is a plus * Experienced in Agile ...

Adidev Technologies Inc

Civil Engineer

Phoenix, AZ · Hybrid

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Adidev Technologies Inc

Civil Engineer

Phoenix, AZ · On-site

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

INTEL

Packaging Module Development Engineer

Phoenix, AZ

$127.40K - $179.90K/yr

... for mobile, edge, and hyperscale computing platforms. Within APTM, the Assembly Technology ... intelligence and machine learning concepts. Preferred Qualifications: One or more years of ...

Deloitte

Senior Consultant - SAP EAM/PM

Tempe, AZ

$60.25 - $82.25/hr

... AI, and machine learning. You'll have the opportunity to work with experienced practitioners ... Experience with SAP Intelligent Asset Management and/or related mobile maintenance capabilities

Verra Mobility

Senior Software Developer

Mesa, AZ · On-site

$54 - $71.50/hr

... mobile applications. * Develop high-quality software with an eye for design and usability ... Knowledge of Machine learning, AI concepts, and Blockchain is a plus * Experienced in Agile ...

TRUMPF

Field Service Engineer

Phoenix, AZ

$27.94 - $43.80/hr

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... learning about new places, and meeting new people? Are you interested in becoming a skilled mobile ...

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Mobile Machine Learning information

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

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What are some common challenges faced by Mobile Machine Learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

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 Mobile Machine Learning jobs in Arizona? For Mobile Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Arizona look for? The top searched job categories for Mobile Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Mobile Machine Learning jobs? Cities in Arizona with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you
Product Manager, Multiple Levels

Product Manager, Multiple Levels

Carvana

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago

Carvana rating

6.7

Company rating: 6.7 out of 10

Based on 259 frontline employees who took The Breakroom Quiz

196th of 711 rated retailers

Job description

About Carvana
"We believe CVNA is in the early stages of becoming the next U.S. retail category killer."
- Stephens Investment Bank, Analyst Report, Sept. 2024
"Growing a capital and labor intensive, industrial type asset at a 40% clip is unchartered territory..."
- JP Morgan Chase, Analyst Report, Jan 2026
Building leading-edge technology has been at the core of Carvana's strategy since our founding, driving us to become the 3rd fastest company in history to organically reach the Fortune 500, following only Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as both the fastest-growing and most profitable automotive retailer in the US, thanks to our deep vertical integration across retail, lending, vehicle transportation, wholesale auctions, and more.
Our technology teams build:
  • End-to-end ecommerce for buying and selling cars, including everything you see on Carvana.com and in our mobile apps.
  • AI-driven customer support across chat, email, SMS, and voice, as well as a proprietary CRM platform built for efficiency and quality at scale.
  • 360° vehicle photography and interactive merchandising using cutting-edge computer vision and AI.
  • The most sophisticated self-service automotive lending platform in the world; a full fintech stack.
  • Systems and tools behind a nationwide logistics network that has delivered and picked up over 3 million cars via our fully owned and operated fleet, reaching 90% of US driveways.
  • Enterprise-grade systems for operating the largest vehicle reconditioning facilities in the US, with workflow automation covering everything mechanical, electrical, and cosmetic.
  • Early adoption and customization of AI tools to optimize developer efficiency and experience.

And much, much more...
About the team and position
Our Product team is at the center of that growth, and we are hiring. We are an AI-first technology organization that moves fast, operates with high ownership, and builds things that matter at scale. If you want to grow not just as a Product Manager but as a leader and business-builder, Carvana is the place for you.
We are hiring Product Managers across several teams in Los Angeles and Phoenix, spanning mid-level and senior roles. While each team has its own focus area, we look for the same foundational qualities across all of them: strong product instincts, a data-driven mindset, an AI-first approach to work, and the drive to own outcomes end to end.
The Teams
Depending on your background and interests, you may be considered for one or more of the following teams:
  • Conversational AI: Own the roadmap and continuous improvement of Sebastian, our AI-powered conversational agent built on leading-edge LLMs that helps millions of customers research, buy, sell, and manage their vehicles.
  • Transactional Communications: Own the customer-facing communications ecosystem across email and SMS, delivering clear, empathetic, and timely messages throughout the car-buying journey at scale.
  • Nurture: Lead nurture communications on an AI-first team, guiding customers from early interest through purchase using machine learning, personalization, and experimentation across email, SMS, and push.
  • Engineering Horizontals - Identity, Experimentation & Data Platform: Own the foundational platforms that power customer trust, product innovation, and regulatory compliance, including authentication, consent management, data privacy APIs, and experimentation infrastructure, as well as the strategic shift in how Carvana consumes and governs data through enterprise adoption of Sigma, migration of legacy SQL Server assets to Snowflake, and ownership of the unit economics of the data platform.
  • New Car Platform: Own product strategy and execution for high-priority special projects across Carvana's New Car organization, spanning new entrants, franchise manufacturers, and direct-to-consumer offerings with broad cross-functional visibility.
  • Inventory Workforce and Vehicle Management: Support the design and development of a new collection of AI and Machine Learning vehicle routing and advanced manufacturing solutions. The goal, automate the entire reconditioning process while optimizing for speed, cost and quality.

What you'll be doing
While responsibilities vary by team, all roles share a common set of expectations:
  • Drive the product roadmap and lead end-to-end product development informed by customer research, analytics, and business needs.
  • Partner cross-functionally with Engineering, Design, Data Science, Analytics, and business stakeholders to scope, prioritize, and ship high-impact initiatives.
  • Own experimentation and measurement, actively interpreting results and translating insights into continuous product improvements.
  • Apply AI tools as a core part of how you work, accelerating research, synthesis, prototyping, and day-to-day execution.
  • Write clear requirements, project briefs, and documentation to align stakeholders and enable effective engineering execution.
  • Use data to size opportunities, evaluate tradeoffs, and make decisions.
  • Take full ownership of your product area and be accountable for the long-term trajectory of key business outcomes such as sales, gross profit, customer satisfaction, and cost per unit sold.

What you should have/know
  • A bachelor's degree in STEM, Economics, Finance, Business, Design, or equivalent experience.
  • Two or more years of product, product analytics, or related experience for mid-level consideration; four or more years for senior-level consideration.
  • Outcome-oriented and data-driven decision making, backed by expertise in metrics, analytics, and tools such as SQL, Tableau, Looker, or Sigma.
  • An AI-first approach to product work, with hands-on experience using AI tools for research, analysis, prototyping, and day-to-day productivity.
  • Excellent written and verbal communication, organizational, and project management skills with strong attention to detail.
  • Ability to learn and absorb technical concepts and communicate them effectively to non-technical audiences.
  • Deep product experience at one or more highly successful and ideally high-growth companies.
  • Strong opinions about consumer products and a developed sense of product taste.
  • Experience with experiment design and interpretation.
  • A willingness to roll up your sleeves and do whatever it takes for the sake of the team and our customers.
  • Self-motivated with a sense of humor and the ability to thrive in a fast-paced, ambitious environment.

It would be great if you also have
  • A genuine passion for AI and its potential to transform product experiences, not just familiarity with the tools but a curiosity about where the technology is headed and how to apply it creatively.
  • Demonstrated ability in designing, building, and deploying enterprise software solutions, with particular experience in areas such as industrial plant design, process management platforms, and automotive or supply chain manufacturing.
  • A genuine passion for AI and its potential to transform product experiences, not just familiarity with the tools but a curiosity about where the technology is headed and how to apply it creatively.
  • Hands-on experience building or iterating on AI-driven products, including features powered by machine learning, LLMs, RAG, tool-calling, or agent frameworks.
  • Knowledge of data science best practices and the ability to collaborate closely with data scientists and ML engineers to shape model-informed product decisions.
  • Strong UX instincts and the ability to anticipate user needs and pain points, especially in AI-assisted or conversational experiences.
  • Experience with agile methodology and product strategy and roadmapping.
  • Familiarity with Snowflake, Sigma, Looker, or Tableau for independent data exploration.
  • Background in automotive, e-commerce, marketplaces, retail, or similarly complex operating environments.

What we'll offer in return
  • Full-Time position with a competitive salary and Carvana stock compensation.
  • Medical, Dental, and Vision benefits.
  • 401K with company match.
  • A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.
  • A great wellness program to keep you healthy and happy both physically and mentally.
  • Access to opportunities to expand your skill set and share your knowledge with others across the organization.
  • A company culture focused on high performance and bar-raising, with vast opportunity to learn and grow.

Other requirements
To be able to do your job at Carvana, there are some basic requirements we want to share with you.
  • Must be able to read, write, speak and understand English.

Of course, we'll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs.
Legal stuff
Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship.
Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories.
Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What Carvana employees say

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Benefits

Hours and flexibility

Workplace

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About Carvana

Sourced by ZipRecruiter

At Carvana, we sell cars, but we're not salespeople. Since 2013, we've been making it our mission to change the way people buy cars. We saw a huge problem with how much it can suck to buy a car the traditional way, so we committed ourselves to tackling one of the largest, yet-to-be-disrupted markets in the world - the $1T per year U.S. car market (yes, that's $Trillion with a "T").

Industry

Automobile dealers

Company size

5,001 - 10,000 Employees

Headquarters location

Tempe, AZ, US

Year founded

2011

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