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Machine Learning Ai Intern Jobs in Arizona (NOW HIRING)

Universal Avionics

AI/ML Engineering Intern

Tucson, AZ · On-site

$14.50 - $18.75/hr

AI/ML Engineering Intern Tucson, AZ (Onsite) | Aerospace & Avionics 9/80 Schedule Available - Every ... Design and develop scalable AI solutions using machine learning models and tools * Build and ...

Whiterabbit.ai

Research Scientist Intern (2025)

Mesa, AZ · On-site

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

dbi

Alterations Intern

Scottsdale, AZ · On-site

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

dbi

Alterations Intern

Scottsdale, AZ · On-site

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

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All JobsMachine Learning Ai Intern JobsMachine Learning Ai Intern Jobs in Arizona

Machine Learning Ai Intern information

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

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

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

What cities in Arizona are hiring for Machine Learning Ai Intern jobs? Cities in Arizona with the most Machine Learning Ai Intern job openings:
Machine Learning Ai Intern jobs near you
AI/ML Engineering Intern

AI/ML Engineering Intern

Universal Avionics Systems Corporation

Tucson, AZ

$14.50 - $18.75/hr

Full-time

Posted 15 days ago

Job description

AI/ML Engineering Intern

Tucson, AZ (Onsite) | Aerospace & Avionics

9/80 Schedule Available – Every Other Friday Off

AI/ML Engineering Intern – Build AI That Powers the Future of Flight

At Universal Avionics, we've spent decades building the avionics systems trusted by pilots and operators around the world. Our AI Labs team is pushing the boundaries of what's possible in aerospace technology, and we're looking for an AI/ML Engineering Intern who's ready to build real things -- not just observe.

This is not a shadow-and-sit-in role. You'll be an active contributor to the design, development, and testing of scalable AI and machine learning solutions, working alongside engineers who care deeply about getting it right in a safety-critical environment.

You'll Thrive Here When...

  • You want to build AI systems that actually ship, not just run in notebooks
  • You enjoy translating data into models and models into measurable outcomes
  • You're comfortable working through ambiguity and iterating fast
  • You're curious about how AI fits into regulated, high-stakes industries
  • You thrive in a collaborative, cross-functional engineering environment

What You'll Work On

  • Design and develop scalable AI solutions using machine learning models and tools
  • Build and optimize data pipelines, prototypes, and training datasets using cloud platforms (AWS, Azure, or GCP)
  • Conduct research and testing to develop machine learning algorithms and predictive models
  • Execute performance testing to evaluate AI systems handling large datasets and complex algorithms
  • Ensure the reliability and performance of AI systems through active development and iteration
  • Collaborate with cross-functional teams to support project goals and solution implementation

What We're Looking For

  • Currently pursuing or holding a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
  • Exposure to or working experience in AI, machine learning, or software development
  • Proficiency in Python
  • Familiarity with machine learning frameworks such as TensorFlow, Spark, or scikit-learn
  • Experience with big data tools and cloud computing platforms (AWS, Azure, or GCP)
  • Strong analytical and problem-solving skills

Why Engineers Love Working Here

  • Work on technology that supports real aircraft and global flight operations
  • Gain hands-on exposure to AI development within a safety-critical aerospace environment
  • Mentorship from experienced engineers in a specialized, mission-driven team
  • Opportunity to grow your skills in a company with decades of aerospace credibility
  • 9/80 schedule - every other Friday off

Our Quality Mindset & Core Values

Innovation We advance avionics technology through creative engineering and continuous improvement.

Excellence We hold ourselves to high standards in quality, reliability, and execution.

Resilience We solve complex technical challenges in demanding aerospace environments.

"Yes, I Can" Ownership We value engineers who are proactive, collaborative, adaptable, and solutions oriented.

Work Environment

This role is based on-site in Tucson, Arizona. You'll work primarily in an office environment within our AI Labs team, with exposure to the broader engineering organization. ESD precautions and protective eyewear may be required in certain areas.

If you're passionate about AI, machine learning, and building the systems that keep aviation safe, we'd love to connect.

Learn more: Universal Avionics

Universal Avionics' products and technology are subject to U.S. export laws and regulations, including but not limited to ITAR and EAR. As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.

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