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Embedded Machine Learning Internship Jobs in Arizona

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Atos

SOFTWARE ENGINEER

Phoenix, AZ · On-site

Design and maintain data pipelines for machine learning model training and inference. Architecture ... Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

... interns; foster a culture of scientific rigor and rapid experimentation. - Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications: - Masters/PhD in ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

... interns; foster a culture of scientific rigor and rapid experimentation. - Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications: - Masters/PhD in ...

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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 the most commonly searched types of Embedded Machine Learning jobs in Arizona? The most popular types of Embedded Machine Learning jobs in Arizona are:
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What cities in Arizona are hiring for Embedded Machine Learning Internship jobs? Cities in Arizona with the most Embedded Machine Learning Internship job openings:
Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Arizona as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Data Analytics Internship - On-site in Scottsdale, AZ

Data Analytics Internship - On-site in Scottsdale, AZ

Vitalant

Scottsdale, AZ • On-site

$20/hr

Part-time

Posted 4 days ago

Vitalant rating

6.3

Company rating: 6.3 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

672nd of 880 rated healthcare providers

Job description

At Vitalant, the impact you make doing work that is purposeful, meaningful, and worthwhile is vital. As a member of our non-profit organization, you can be impact-inspired to provide vital clinical services to communities nationwide, vital products to those in need of a donor's generosity, or vital scientific research that advances blood safety worldwide.
Work Shift (if applicable):
Shift 1 (United States of America)
Job Description:
Compensation: $20.00/ hour
Vitalant is hiring a Data Analytics Intern to help advance our life-saving mission through meaningful, data-driven insights. This part-time role offers fully flexible scheduling Monday through Thursday, with opportunities to work 16-24 hours per week based on your availability during the current school semester and into the Summer break. This internship will work on-site at our Scottsdale, AZ office - remote or hybrid options are not available.
In this Data Analytics Internship, you will:
  • Support Advanced Analytics initiatives by preparing datasets, conducting exploratory data analysis (EDA), and assisting with machine-learning workflows in Python.
  • Gain hands-on exposure to modern ML techniques used across our program, including tree-based models (XGBoost), neural networks (RNNs), and time-series forecasting approaches.
  • Collaborate with senior analysts, computer scientist and engineers to evaluate model performance and help operationalize insights.
  • Assist with BI and data-engineering tasks, including updating data pipelines, refining semantic models, and maintaining data quality across our BI ecosystem.
  • Work with Power BI and Looker to support ongoing enhancements as we expand our analytics presence.
  • Perform data validation, profiling, and quality checks to ensure accurate, trusted reporting and analytics.
  • Collaborate with cross-functional teams to gain real-world experience building analytics solutions in a complex, mission-driven organization.

This is an exceptional opportunity for students interested in Data Science, Computer Science, or Analytics to develop hands-on skills in BI, cloud technologies, and machine learning while contributing to meaningful, real-world projects that support a life-saving mission. If you are eager to grow in advanced analytics and ML, we would love to hear from you.
Requirements:
Knowledge/ Education
Enrolled in a formal intern program at an educational institution required.
Skills/ Abilities
Ability to work in a team environment.
Able to set priorities, organize and handle a variable workload.
Effective oral and written communication skills.
Must be self-motivated with good organizational skills.
Proficient personal computer skills.
Experience
No experience required.
Location:
9305 East Via de VenturaScottsdale, AZ 85258
Job Category:
Administrative Support
Contact Information: careers@vitalant.org
If you are impact-inspired to help others, and making a difference is vital for you, you'll experience a career built on purpose, a company created to care, and a team committed to lead - together.

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