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Embedded Machine Learning Engineer Jobs in Orem, UT

Waystar

Sr. Data Scientist

Lehi, UT · On-site

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

Patientco

Data Scientist

Lehi, UT

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

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$100 - $125/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 ...

Crew Career Center

Data Scientist

Lehi, UT

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

Waystar

Data Scientist

Lehi, UT · On-site

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

Waystar

Sr. Data Scientist

Lehi, UT · On-site

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

Patientco

Sr. Data Scientist

Lehi, UT

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

Crew Career Center

Sr. Data Scientist

Lehi, UT

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

Patientco

Senior Data Scientist

Lehi, UT

... 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 ...

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Orem, UT

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 Sep 8, 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 job categories do people searching Embedded Machine Learning Engineer jobs in Orem, UT look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in Orem, UT 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:

Embedded Machine Learning Engineer jobs near you

Engineering Division- Draper - Associate, Systems Engineering - 10424181

Draper, UT • On-site

Goldman Sachs Group, Inc.
Finance and Insurance • 10K+ employees
Learn more about Goldman Sachs Group, Inc.external

$150 - $200/hr

Other

Posted 7 days ago

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

90th of 176 rated banks

Job description

Job Duties: Associate, Systems Engineering with Goldman Sachs Services LLC in Draper, Utah. Develop expertise across all Engineering, including datacenter design, networks, storage, grid compute, operating systems, databases, communications, market data and software languages. Contribute to the design and development of the firm’s computer and data infrastructure by identifying internal hardware and implementing public and private cloud-based solutions to provide seamless on-demand scaling of the firm's applications. Assist in the creation of automated testing processes, standards, solutions and tools. Apply data mining and machine learning techniques to identify and react to problems in the firm’s infrastructure and platforms.Identify, analyze, and resolve application issues by documenting repetitive error resolutions and minimizing operational errors. Assist in developing and monitoring reports to track and manage application health and support application service performance. Assist in monitoring risk in the production environment and change management processes. Help to improve application stability and performance by automating failures using machine learning techniques and analyzing discrepancies and trends. Develop sustainable systems and services through automation, performance tuning and database queries.

Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, Information Technology, or related field and one (1) year of experience in job offered or related role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Information Systems, Information Technology, or related field and three (3) years of experience in job offered or related role. Prior work experience must include one (1) year with Master’s OR three (3) years with Bachelor’s with the following: performance tuning and troubleshooting application issues utilizing Java, code debugging, or log analysis; application troubleshooting for applications based on public cloud including AWS, GCP or any similar cloud offerings; software development using UNIX operating system, Shell scripting, or Python; designing and supporting database systems utilizing technologies such as MongoDB or similar databases; working with the full Software Development Life Cycle (SDLC) including requirements gathering, design, prioritization, coding testing, release, and support; and SQL performance, tuning, and diagnosing potential performance issues by analyzing query execution plans and setting up disaster recovery.

The Goldman Sachs Group, Inc., 2026. All rights reserved.Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

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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

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