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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 ...

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 · 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

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Shoot and edit content in real time using mobile-first tools like CapCut. * Tag and feature around ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Shoot and edit content in real time using mobile-first tools like CapCut. * Tag and feature around ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Shoot and edit content in real time using mobile-first tools like CapCut. * Tag and feature around ...

Company Description Cricut makes smart cutting machines that work with an easy-to-use app, an ever ... Reinforce a learning mindset: Participate in user research and A/B testing, advocate for our users ...

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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:

Manager of AI Engineering & Generative AI Development

Midvale, UT • On-site

Zions Bancorporation
Commercial Banking • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Zions Bancorporation rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

54th of 176 rated banks


Job description

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today
We are seeking a highly collaborative Manager of AI Engineering & Generative AI Development to build, lead, and mentor a team of AI Engineers. As a leading financial services organization, we have leveraged artificial intelligence methods for several years (mainly machine learning) and over the last two years have been accelerating our broad adoption of GenAI to transform our business and deliver exceptional value to our customers.
As a Manager of AI Engineering & Generative AI Development, you will guide the development, engineering, and deployment of Generative AI and incorporate advanced machine learning solutions. You will be a crucial bridge between highly technical engineering teams and our internal business partners as well as our technology and cyber security teams, ensuring our AI initiatives are secure, scalable, and impactful.
Responsibilities:
  • Team Leadership & Development:Build, mentor, and manage a high-performing team of AI engineers and developers. Cultivate a collaborative, inclusive, and innovative team culture.
  • GenAI & AI Engineering Delivery:Oversee the end-to-end lifecycle of AI and GenAI application development, ensuring technical excellence, robust architecture, and alignment with financial services security and compliance standards.
  • Inter Team Collaboration:Work closely and frequently with two peer AI leaders as a key part of development of our AI agents.
  • Cross-Functional Partnership:Partner closely with Cloud Engineering, Enterprise Architecture, and internal Business Leaders to integrate AI solutions into our broader technology ecosystem and drive tangible business outcomes.
  • Technical Guidance:Provide architectural and technical direction for the team, staying current with the rapidly evolving GenAI landscape, frameworks, and best practices.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a heavily related technology discipline.
  • A robust, proven background (8+ years) in software engineering, technology architecture, and systems development.
  • 3+ years of experience with data science and AI (Machine Learning and/or Generative AI)
  • Exceptional interpersonal skills with a demonstrated ability to build strong teams, break down silos, and collaborate effectively with diverse technical and non-technical stakeholders.
  • Python, SQL, experience with containers, experience with code repositories such as GitHub, familiarity with GenAI frameworks such as LangChain/LangGraph
  • 3+ years of experience in a leadership, management, or team-lead capacity is highly preferred
  • Hands-on development and/or direct leadership experience specifically focused on AI engineering, Large Language Models (LLMs), and Generative AI orchestration is preferred
  • Prior experience delivering technology solutions within the highly regulated financial services sector is preferred

Location:
This position is fully in office (5 days a week) at the Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047
The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:
  • Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
  • At least 75% of the building is powered by on-site renewable solar energy.
  • Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
  • Large modern cafe with a healthy and diverse menu.
  • Healthy indoor environment with ample natural light and fresh air.
  • LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits:
  • Medical, Dental and Vision Insurance - START DAY ONE!
  • Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
  • Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
  • Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
  • 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
  • Mental health benefits including coaching and therapy sessions
  • Tuition Reimbursement for qualifying employees
  • Employee Ambassador preferred banking products

Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.

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