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Embedded Machine Learning Internship Jobs in Utah

Brex

Brex Rotational Program

Salt Lake City, UT · Hybrid

$58K - $66K/yr

... machine learning, or data analysis. * Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics. * Prior internships/full-time roles ...

Williams International

Intern - Machining

Ogden, UT

$24.04/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Williams International

Intern - Machining

Ogden, UT · On-site

$24.04/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Autonomous Solutions

Perception Engineer III

Mendon, UT · Hybrid

Contribute to machine learning-based perception pipelines as appropriate to project needs. * Write clean, efficient C++ code optimized for embedded Linux environments. * Integrate perception software ...

Brex

Brex Rotational Program

Salt Lake City, UT · On-site

$58K - $66K/yr

... machine learning, or data analysis. * Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics. * Prior internships/full-time roles ...

LASHBROOK

Mechanical Engineering Intern

Draper, UT

$17.50 - $23.50/hr

The ideal candidate enjoys learning independently, takes pride in finding practical solutions, and ... Basic machining or fabrication experience What Makes This Internship Different Unlike many ...

New

Lashbrook Designs

Mechanical Engineering Intern

Draper, UT · On-site

$17.50 - $23.50/hr

The ideal candidate enjoys learning independently, takes pride in finding practical solutions, and ... Basic machining or fabrication experience What Makes This Internship Different Unlike many ...

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Embedded Machine Learning Internship information

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
What are popular job titles related to Embedded Machine Learning Internship jobs in Utah? For Embedded Machine Learning Internship jobs in Utah, the most frequently searched job titles are:
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Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Utah as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.
Brex Rotational Program

Brex Rotational Program

Brex

Salt Lake City, UT • Hybrid

$58K - $66K/yr

Other

Posted 9 days ago

Key responsibilities

  • Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.

  • Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.

  • Collaborate with EPD, G&A, GTM, and Legal to translate business needs into practical automation solutions.

Job description

What you'll do

Throughout this 18-20 month program, you'll rotate through two of our G&A teams, learning about areas such as risk management, finance, automation, and data analysis. You'll contribute to critical process improvements and developments, implementing our processes while leveraging AI to streamline workflows and enhance decision-making.

You'll challenge the status quo, bringing insights from each rotation to the next to improve cross-team communication and efficiency. We believe in a founder mindset - and this program is designed to show you how you can take ownership of your growth. During each rotation, you'll complete a core project focused on key data insights, process implementation, or process improvement-many of which will involve exploring and applying AI solutions. You'll then have the opportunity to share your findings with your program class and Brex Executives.

The program is supported by our leadership team, and you'll have frequent meetings with various Brex leaders. This provides a unique opportunity to work closely with and learn from executives who are at the forefront of building an AI-native company.

Where you'll work

This role will be based in our Salt Lake City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

  • Handle day-to-day tasks efficiently.
  • Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.
  • Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.
  • Collaborate with EPD, G&A, GTM, and Legal to translate business needs into practical automation solutions.
  • Contribute to the long-term strategy for Brex's AI-native roadmap, exploring and integrating new tools and frameworks to enhance internal operations.

Requirements

  • Bachelor's degree.
  • Demonstrated experience using AI tools and applying effective prompting skills.
  • Strong problem-solving abilities and comfort working through ambiguity.
  • Passion for business operations, internal tools, and the application of AI and automation to improve efficiency and enable scale.
  • Proven ability to work both independently and in cross-functional teams.
  • Strong written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
  • Desire to contribute in a fast-paced environment with a founding team member mindset.

Bonus Points

  • Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering.
  • Basic knowledge or proficiency in programming languages such as but not limited to Python, JavaScript, or SQL.
  • Experience with personal projects, a portfolio of work, or participation in competitions (e.g., Hackathons) focused on AI, machine learning, or data analysis.
  • Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics.
  • Prior internships/full-time roles in an operational, data, or technical role, especially where you were involved in process improvement or automation.
  • Familiarity with Retool, Salesforce, Hex, and Looker.

Compensation

The expected salary range for this role is $58,700 - 66,038.  However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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