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Machine Learning Software Engineer Intern Jobs in Tucson, AZ

... data for machine learning pipelines, feature engineering, and model lifecycle management ... into software applications and system architectures using APIs and microservices - Supports ...

New

This is an exciting opportunity for a hands-on learning experience in the fields of water and ... software. • Assists with providing basic engineering support to water distribution, water ...

Software Engineer II Posting Start Date: 5/11/26 Job Location (Short): Tucson, Arizona, USA, 85706 ... machine coordination, equipment management, navigation planning, collision detection, and ...

Software Engineer

Tucson, AZ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

This is an exciting opportunity for a hands-on learning experience in the fields of water and ... scenarios in modeling software. Assists with providing basic engineering support to water ...

Staff Software Engineer

Tucson, AZ · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

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Machine Learning Software Engineer Intern information

See Tucson, AZ salary details

$12

$24

$36

How much do machine learning software engineer intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine learning software engineer intern in Tucson, AZ is $24.03, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $27.26 per hour, depending on experience, location, and employer.

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Tucson, AZ? The most popular types of Machine Learning Software Engineer jobs in Tucson, AZ are:
Infographic showing various Machine Learning Software Engineer Intern job openings in Tucson, AZ as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $49,984 per year, or $24 per hour.
AI-ML Engineer 1

$98.40K - $118.20K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Summary
We are seeking a motivated and detail-oriented AI/ML Engineer I to join our team. This entry-level position plays a critical role in supporting the design, development, and optimization of scalable AI and machine learning solutions. The ideal candidate has a strong foundation in computer science and data science concepts and is eager to grow within a collaborative and fast-paced environment.
Essential Duties and Responsibilities include the following.  Other duties may be assigned.

  • Design and develop scalable AI solutions using machine learning models and tools 
  • Ensure the scalability, reliability, and performance of AI systems through development and testing 
  • Execute performance testing to assess the efficiency of AI systems when handling large datasets and complex algorithms 
  • Conduct research and testing to build machine learning algorithms and predictive models 
  • Utilize big data tools and cloud platforms to create data pipelines, prototypes, and training datasets 
  • Train, evaluate, and tune machine learning models using frameworks such as TensorFlow, Spark, or scikit-learn 
  • Integrate, test, and monitor AI solutions in production environments 
  • Collaborate with cross-functional teams to support project goals and solution implementation

 Competency

To perform the job successfully, an individual should demonstrate the following competencies.

Technical Skills

  • Programming Proficiency: Solid understanding of Python is essential; familiarity with Java, R, or C++ is beneficial.
  • Machine Learning: Knowledge of basic algorithms (linear regression, decision trees, k-NN, etc.) and supervised/unsupervised learning techniques.
  • AI Tools & Libraries: Familiarity with ML frameworks like scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Handling: Proficient in data wrangling, preprocessing, and working with structured and unstructured datasets using tools like Pandas and NumPy.
  • Big Data Tools: Exposure to tools like Spark or Hadoop is a plus.
  • Cloud Computing: Awareness of cloud platforms (AWS, Azure, GCP) and services like S3, EC2, or SageMaker.

Analytical & Problem-Solving

  • Ability to break down complex problems into solvable components.
  • Experience in basic model evaluation (precision, recall, F1 score).
  • Comfort working with statistical concepts and metrics.

Software Development

  • Understanding of software engineering best practices: version control (Git), testing, and debugging.
  • Exposure to containerization tools (Docker, Kubernetes) is a bonus.

What We Offer:

  • Benefits eligibility starts on your first day as a full-time employee at Universal Avionics.
  • Medical insurance (multiple plan options, including low-deductible PPO)
  • Preventive care covered at 100%
  • Affordable copays for doctor visits, urgent care, and prescriptions
  • Teladoc virtual care access
  • Vision coverage through VSP (includes exams, frames, and lenses)
  • Dental insurance (covers preventive, basic, and major services)
  • 401(k) with immediate safe harbor match (100% match on up to 4% of pay after 60 days)
  • 9/80 work schedule option – every other Friday off
  • Vacation, sick time, and 14 paid holidays (including a week in December)
  • Tuition reimbursement
  • Gym reimbursement
  • Wellness programs:
    • One Pass Select (discounted access to gyms, fitness apps, and more)
    • Travel assistance and employee discounts
  • Employee Assistance Program (EAP) and emotional wellness support:
    • Up to 3 free counseling visits per issue/year through Reliance Matrix
    • Up to 6 free counseling sessions per issue/year through Health Advocate
    • Includes mental health, financial, legal, work-life, medical navigation, and life coaching support
  • And more!

Why You’ll Love Working Here:

  • Universal Avionics offers the best of both worlds: the close-knit, agile culture of a mid-sized company, with the resources and global impact of our parent company, Elbit Systems.
  • Our team is driven by purpose, innovation, and a shared passion for aviation safety.
  • Here's what makes our work environment thrive:
  • A collaborative, supportive team of skilled professionals and mentors
  • Groundbreaking projects that shape the future of avionics technology
  • A company culture that promotes innovation, career growth, and continuous learning
  • Meaningful work that impacts air travel safety around the world
  • A strong work-life balance, including a 9/80 schedule option

 To learn more about Universal Avionics, visit: www.UniversalAvionics.com

 Universal Avionics’ products and technology are subject to U.S. export laws and regulations, including but not limited to the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.