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Mobile Machine Learning Jobs in Utah (NOW HIRING)

Strong technical depth in one or more areas such as mobile engineering, backend systems, cloud ... Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related ...

Sales Account Executive

Layton, UT · On-site

$160K - $200K/yr

Artificial Intelligence & Machine Learning * Cloud Engineering & Modernization * Data Engineering & Analytics * Mobile Application Development * QA & Test Automation * DevOps & Platform Engineering

Sales Account Executive

Layton, UT · On-site

$160K - $200K/yr

Artificial Intelligence & Machine Learning * Cloud Engineering & Modernization * Data Engineering & Analytics * Mobile Application Development * QA & Test Automation * DevOps & Platform Engineering

Sales Account Executive

Layton, UT · Hybrid

$160K - $200K/yr

Artificial Intelligence & Machine Learning * Cloud Engineering & Modernization * Data Engineering & Analytics * Mobile Application Development * QA & Test Automation * DevOps & Platform Engineering

Dish Room Attendant

Midvale, UT · On-site

$14.50 - $19.75/hr

Sorts and washes dishes, pots, and utensils with a dish machine and 3-compartment sink ... Learning and advancement opportunities American Food & Vending is an Equal Opportunity Employer.

Lead UX Designer

South Jordan, UT

$105K - $137K/yr

Company Description Cricut ® makes smart cutting machines that work with an easy-to-use app, an ... desktop and mobile devices across a range of operating systems. * Reinforce a learning mindset:

Lead UX Designer

South Jordan, UT · On-site

$104K - $136K/yr

Company Description Cricut makes smart cutting machines that work with an easy-to-use app, an ever ... desktop and mobile devices across a range of operating systems. * Reinforce a learning mindset:

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Showing results 1-20

Mobile Machine Learning information

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 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 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 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 Utah?

The most popular types of Machine Learning jobs in Utah are:

What are popular job titles related to Mobile Machine Learning jobs in Utah?

For Mobile Machine Learning jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Mobile Machine Learning jobs?

Cities in Utah with the most Mobile Machine Learning job openings:

Director of Engineering

Smule

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision, Life

Re-posted 13 days ago


Job description

Since 2008, Smule has been transforming music from a passive listening experience into a collaborative, social form of creative expression. Our mission is to bring people together through music, empowering anyone, anywhere, to create, share, and connect through song. Today, tens of millions of people use Smule to make music together, creating more than 20 million songs every day. From aspiring singers to lifelong music lovers, our global community comes together to collaborate, discover new talent, and express themselves through music.


At Smule, you'll have the opportunity to build products that inspire creativity, foster meaningful connections, and bring joy to millions of people around the world.


About the Role:

Smule is seeking a Director of Engineering to lead teams building scalable, reliable, and AI-powered consumer experiences for our global community. This leader will play a key role in accelerating Smule’s transformation into an AI-first engineering organization, driving innovation, technical excellence, and operational performance across critical product and platform initiatives.


The ideal candidate combines strong technical leadership, a passion for emerging AI technologies, and a proven track record of building high-performing teams and consumer products at scale.


This position follows a hybrid work schedule, requiring up to two days per week in our downtown Salt Lake City or San Francisco offices.


What You'll be Doing:

  • Lead engineering teams and managers to deliver product and platform roadmaps with high execution quality, operational reliability, and team performance.
  • Drive Smule’s AI-first engineering practices by embedding AI-assisted development, automation, machine learning/deep learning systems, and modern developer productivity tools into daily engineering workflows.
  • Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve product innovation, platform scalability, and engineering productivity.
  • Partner with Product, Design, Data, Research, and technical leaders on roadmap planning, prioritization, release execution, AI initiatives, platform modernization, and technical debt reduction.
  • Establish and uphold engineering standards for architecture, code quality, testing, security, documentation, observability, and production readiness.
  • Define and track engineering KPIs for delivery velocity, product quality, system reliability, operational health, and team effectiveness.
  • Build and develop high-performing engineering teams through hiring, coaching, performance management, succession planning, and leadership development.
  • Lead operational reviews, incident follow-ups, and continuous improvements to engineering execution, reliability, and readiness.


What We're Looking For:

  • Bachelor’s degree in Computer Science or a closely related technical field.
  • 8+ years of progressive software engineering experience, including technical leadership and people management responsibilities.
  • 3+ years leading engineering teams, including Software Engineers, Technical Leads, and/or Engineering Managers.
  • Strong AI fluency, including practical experience applying AI-assisted development, automation, machine learning, deep learning, or AI-powered product capabilities.
  • Proven experience building, scaling, and operating high-volume consumer-facing products and services.
  • Strong technical depth in one or more areas such as mobile engineering, backend systems, cloud infrastructure, distributed systems, AI/ML platforms, or platform engineering.
  • Experience driving engineering transformation initiatives, including AI adoption, developer productivity improvements, automation, or platform modernization.
  • Deep understanding of modern software development practices, including agile delivery, CI/CD, testing automation, observability, and operational excellence.
  • Demonstrated ability to balance speed, quality, scalability, reliability, and business priorities.
  • Strong communication, stakeholder management, and cross-functional leadership skills.


Bonus Points For:

  • Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
  • Experience building AI-powered consumer features, deep learning systems, recommendation systems, personalization platforms, audio/video technology, or creator tools.
  • Experience working with globally distributed engineering organizations.
  • Passion for music, creativity, and social connection.


Why Join Our Team?

  • Flexible time off
  • 12 observed holidays
  • Comprehensive benefits package, including medical, dental, vision, and supplemental insurance, available from your first day of employment at low or no cost to you.
  • Employer-paid life and short-term disability insurance
  • Employer contributions to employee HSA accounts
  • Well-being subscriptions, including Headspace and Wellhub
  • Cell phone and internet reimbursement to support hybrid work
  • Home office stipend to help create your ideal workspace


Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.


We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.