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Mobile Machine Learning Jobs in Utah (NOW HIRING)

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Senior Data Scientist

Lehi, UT · On-site

$140K - $175K/yr

... for explainable machine learning * Familiarity with MLOps concepts such as model versioning, reproducibility, monitoring, CI/CD, or deployment to edge, mobile, or cloud environments Key ...

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 ...

Deburr Technician

Ogden, UT · On-site

$17 - $22/hr

... learning new skills, and taking pride in detailed work? At JD Machine Corporation, we're looking ... Apply today with our quick, mobile-friendly application. Job Posted by ApplicantPro

Deburr Technician

Ogden, UT · On-site

$17 - $22/hr

... learning new skills, and taking pride in detailed work? At JD Machine Corporation, we're looking ... Apply today with our quick, mobile-friendly application.

... mobile or web applications. Academic or professional experience must include: experience with ... statistical machine learning, and advanced programming algorithms; experience with computer ...

... mobile or web applications. Academic or professional experience must include: experience with ... statistical machine learning, and advanced programming algorithms; experience with computer ...

... mobile or web applications. Academic or professional experience must include: experience with ... statistical machine learning, and advanced programming algorithms; experience with computer ...

Solution Architect - Enterprise Systems

Midvale, UT · On-site

$59.50 - $78.25/hr

ZAGG is a global leader in mobile accessories, driving innovation in device protection, power, and ... Identify where intelligent automation and machine learning capabilities can eliminate operational ...

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

$105K - $137K/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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Mobile Machine Learning information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized knowledge, and may be found in large tech companies or research institutions.

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.

Will MLE be replaced by AI?

Mobile Machine Learning Engineers (MLEs) develop and optimize machine learning models for mobile devices. While AI technologies continue to advance, MLEs focus on implementing efficient, lightweight models suitable for mobile hardware, and their role is expected to evolve rather than be fully replaced by AI itself. Skills in model optimization, deployment, and understanding mobile constraints remain essential for MLEs.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working on mobile applications, can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and AI, and roles in high-paying industries or companies. Achieving this level often requires advanced degrees, specialized expertise, and leadership responsibilities.

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.

Which 3 jobs will survive AI?

Mobile Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with AI tools and frameworks are essential for long-term job security in this field.

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 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:
Senior Data Scientist

Senior Data Scientist

ZimZee Recruiting

Lehi, UT • On-site

$140K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

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Job description

ZimZee Recruiting is seeking an experienced Senior Data Scientist to join our client in Lehi, Utah. This individual contributor role is ideal for someone who enjoys working at the intersection of signal processing, machine learning, and biomedical research. You will play a key role in designing, validating, and deploying algorithms that transform complex physiological signals into clinically meaningful health insights.


Skills and Requirement

  • 6–8+ years of hands-on experience in data science, machine learning, or machine learning engineering with a history of building and validating production-quality models
  • Strong Python programming skills with experience using scientific computing and machine learning libraries such as NumPy, SciPy, scikit-learn, PyTorch, or TensorFlow
  • Experience working with physiological signals or biomedical data, including wearable devices, clinical monitoring, neuroscience, sports science, or related domains
  • Strong foundation in signal processing, statistical modeling, and machine learning for time-series data
  • Experience developing models using limited or sparse datasets while understanding overfitting, model generalization, and validation best practices
  • Ability to read, evaluate, and implement approaches from scientific literature
  • Experience with interpretable or physically informed modeling techniques and an appreciation for explainable machine learning
  • Familiarity with MLOps concepts such as model versioning, reproducibility, monitoring, CI/CD, or deployment to edge, mobile, or cloud environments


Key Responsibilities

  • Design, develop, and optimize signal processing pipelines for multimodal physiological sensor data, including PPG, bioimpedance, galvanic skin response, temperature, and IMU signal
  • Build, validate, and improve predictive machine learning models that generate clinically meaningful physiological metrics from wearable sensor dat
  • Evaluate and recommend modeling approaches that balance interpretability, scientific rigor, and predictive performanc
  • Collaborate with data scientists, engineers, clinical researchers, and hardware teams to translate physiological research into production-ready algorithm
  • Help establish and improve MLOps practices, including model versioning, deployment workflows, monitoring, and reproducibility standard
  • Contribute to experimental design, algorithm validation, and data collection efforts for both laboratory and human-subject studies

Company Description

ZimZee Recruiting is a full-service recruiting and professional placement firm for both clients and candidates. We are located in Utah and serve both local and national needs. ZimZee Recruiting is passionate about recruiting, and our team members are focused, hardworking, and willing to go the extra mile to help fill a position or a new role for you. Our strong ethics and values provide an unmatched level of satisfaction for everyone involved with our team.
Our business team is passionate, dedicated and highly motivated to tackle the daily challenges of a fast-growing technology company. We aim to constantly improve our sales and marketing processes to grow at a fast pace.