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Mobile Machine Learning Jobs in Utah (NOW HIRING)

We're a next-generation financial services company and national bank using innovative, mobile-first ... Familiarity with machine learning concepts and ability to interpret model outputs and performance ...

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

Lead UX Designer

South Jordan, UT

$105K - $137.50K/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:

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 ...

Lead UX Designer

South Jordan, UT · On-site

$105K - $137.50K/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:

Operate lifts and other mobile equipment to safely access and maintain machinery and facility ... A career at Lineage starts with learning about our business and how each team member plays a part ...

As a Heavy Duty Mechanic at Drax, you will conduct routine maintenance on machines to ensure the ... A Supportive Team: Work in an environment where continuous learning is encouraged, and your ...

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Mobile Machine Learning information

See Utah salary details

$11

$23

$108

How much do mobile machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for mobile machine learning in Utah is $23.05, according to ZipRecruiter salary data. Most workers in this role earn between $13.12 and $18.37 per hour, depending on experience, location, and employer.

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 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:
Asset & Wealth Management - Software Engineer - Associate - Salt Lake City

Asset & Wealth Management - Software Engineer - Associate - Salt Lake City

Goldman Sachs

Salt Lake City, UT

Other

Posted 16 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

What We Do

At Goldman Sachs, our Engineers don't just make things - we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?  Start here.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Asset & Wealth Management Engineering 

Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design.

How you will fulfill your potential

Onboarding Engineering is the nexus of our Wealth Management business. With Engineers located in Albany, Dallas, Salt Lake City, New York City, London, Bengaluru, and Hyderabad, the Onboarding Engineering team is building the next generation of highly distributed and scalable systems to rapidly enable new clients and efficiently and effectively maintain and service existing clients by capturing, modeling, synthesizing, processing, and managing vast amounts of disparate data. You will be part of a smart, passionate, and fun (!) team of Engineers reimagining and digitizing complex workflows with focuses on usability, availability, resiliency, performance, and advanced monitoring with governance. 

Skills and Experience we are looking for

  • Bachelor's degree in Computer Science or related Engineering field
  • Strong full-stack developer
  • 3+ years of Java, Python and other programming languages with experience in object-oriented analysis, design and testing best practices
  • Prefer experience with React, Java Spring, middleware and asynchronous processing
  • Experience building applications in low code platform(s) and integrating with on-prem services
  • Knowledge in one or more SQL dialects
  • 2+ year(s) contributing to and leading design decisions, optimizing performance and risk mitigation
  • Self-motivated with analytical mindset who can multi-task to solve interesting and difficult technical problems under time pressure and resource constraints
  • Effectively partner with external teams to ensure we meet our goals for system integration, application deployment, feed management and reporting
  • Ensure systems can scale to handle increasing business volumes, optimize performance and throughput
  • Experience overseeing all stages of the development lifecycle: inception, analysis, design, review, testing, and deployment
  • Experience building and sustaining long-term relationships with clients and colleagues in a diverse global organization
  • Excellent written and verbal communication skills, including experience working directly with both technical and non-technical stakeholders

ABOUT GOLDMAN SACHS 

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. 
 

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. 

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html


What Goldman Sachs employees say

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Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869