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Embedded Machine Learning Engineer Jobs in Orem, UT

Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...

Data Engineer

Provo, UT

$108K - $130K/yr

The Data Engineer will own the design, development, and optimization of the data infrastructure that underpins analytics, reporting, and machine learning initiatives across the credit union. Working ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

The Data Engineer will own the design, development, and optimization of the data infrastructure that underpins analytics, reporting, and machine learning initiatives across the credit union. Working ...

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting‑with, and implementing machine learning and analytical systems applied to design ...

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

... data engineers to ensure data quality, accessibility, and integrity. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and ...

... data engineers to ensure data quality, accessibility, and integrity. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and ...

... data engineers to ensure data quality, accessibility, and integrity. * Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and ...

Showing results 41-60

Embedded Machine Learning Engineer information

See Orem, UT salary details

$60.9K

$133.3K

$151.3K

How much do embedded machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded machine learning engineer in Orem, UT is $133,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Orem, UT?

For Embedded Machine Learning Engineer jobs in Orem, UT, the most frequently searched job titles are:

What cities near Orem, UT are hiring for Embedded Machine Learning Engineer jobs?

Cities near Orem, UT with the most Embedded Machine Learning Engineer job openings:

Sr. Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
Waystar is a company that simplifies healthcare payments through its innovative platform. They are seeking an experienced Data Scientist to solve healthcare-related problems using data-driven methods and collaborate with various teams to enhance machine learning and predictive modeling across their products.
Responsibilities:
• Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior
• Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products
• Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning
• Translates real-world Healthcare problems to mathematical frameworks
• Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback
• Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role
• Understands, organizes, and communicates root causes of problems and successes succinctly
Qualifications:
Required:
• Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
• Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing
• Understanding of orders of algorithms and how they scale
• Demonstrated competency in R/Python predictive modeling
• Demonstrated competency in RDBMS (e.g. SQL Server)
• Ability to code in 1+ general purpose programming language (C#, Java, etc.)
• Must be a quick-learner with the ability to multi-task in a fast-paced environment
• Outstanding presentation abilities and the ability to communicate with all levels of the Business
• Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills
• Outstanding communication and interpersonal skills
• Must possess strong analytical, problem-solving, and writing skills
• Proficient in Microsoft Office applications
• Detail-oriented
Preferred:
• Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics
• An aptitude for medical informatics
Company:
Waystar is a technology platform that provides healthcare revenue cycle management solutions. Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.