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Machine Learning Engineer Intern Jobs in Tucson, AZ

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

Data Analysis and Machine Learning Pipeline Development: * Under moderate guidance collaborate in ... Expert-level programming skills in Python and/or R; proficiency with ML libraries (scikit-learn ...

Arete Associates

Scientist (Algorithm Developer)

Tucson, AZ · On-site

$85K - $145K/yr

Demonstrated experience with signal processing, image processing, computer vision, or machine learning * Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity ...

Arete

Scientist (Algorithm Developer)

Tucson, AZ · On-site

Demonstrated experience with signal processing, image processing, computer vision, or machine learning * Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity ...

Arete

Scientist (Algorithm Developer)

Tucson, AZ · On-site

Demonstrated experience with signal processing, image processing, computer vision, or machine learning * Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity ...

University of Arizona

AI Research Scientist

Tucson, AZ · On-site

Create rigorous educational materials focused on applied machine learning, prompt engineering frameworks, transformer dynamics, and responsible AI development. * Establish institutional benchmarks ...

Varsity Tutors

Data Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

University of Arizona

Scientific Analyst II

Tucson, AZ · On-site

... machine learning, deep learning, and statistical modeling. * Strong data wrangling and preprocessing skills for large, heterogeneous datasets. * Expert-level programming skills in Python and/or R ...

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Showing results 21-40

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Tucson, AZ

Machine Learning Engineer Intern information

See Tucson, AZ salary details

$23.7K

$39.6K

$81.9K

How much do machine learning engineer intern jobs pay per year?

As of Jul 28, 2026, the average yearly pay for machine learning engineer intern in Tucson, AZ is $39,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,800.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Tucson, AZ? The most popular types of Machine Learning Engineer jobs in Tucson, AZ are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Tucson, AZ? For Machine Learning Engineer Intern jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Tucson, AZ look for? The top searched job categories for Machine Learning Engineer Intern jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Machine Learning Engineer Intern jobs? Cities near Tucson, AZ with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Tucson, AZ as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $39,648 per year, or $19.1 per hour.

Principal Data Scientist - Factory Intelligence

Prattwhitney

Tucson, AZ • On-site

$107.50 - $204.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Principal Data Scientist – Factory Intelligence

Location: Tucson, Arizona. Work type: Hybrid. U.S. citizens only. Security clearance: Secret (required prior to start, interim clearance available).

What you will do
  • Transform factory data into actionable intelligence that improves production performance.
  • Collaborate with Engineering, Operations, and Quality teams to build and deploy predictive analytics solutions.
  • Develop models that directly impact yield, reduce variation, and support smarter decision‑making.
  • Design, deploy, and maintain production‑grade machine learning solutions.
  • Build intuitive data visualization tools and statistical analysis applications.
  • Partner with stakeholders to translate complex data into clear, practical insights.
  • Provide technical leadership and mentor junior data scientists and engineers.
  • Establish best practices in applied data science across the organization.
  • Become a subject‑matter expert in factory test data and uncover opportunities for improvement.
  • Solve challenging, data‑driven manufacturing problems and deliver measurable production enhancements.
  • Work directly with customers to ensure data is fully leveraged to improve performance.
  • Contribute to scalable, production‑ready data science solutions and help advance the organization’s analytics standards.
  • Operate effectively in a fast‑paced, multi‑tasking environment.
Qualifications You Must Have
  • University degree or equivalent experience and a minimum of 8 years of relevant experience, or an advanced degree and a minimum of 5 years of experience.
  • Experience developing in Python (NumPy, SciPy, scikit‑learn, scikit‑image) for production‑grade statistical or machine learning applications.
  • Demonstrated experience deploying, maintaining, and scaling machine learning models in production environments.
  • Experience with relational database management and SQL development.
  • U.S. citizen. Active and transferable U.S. government‑issued security clearance required prior to start; U.S. citizenship required as only citizens are eligible for a clearance.
Preferred Qualifications
  • Experience with statistical tools such as Minitab, R, JMP, or SAS.
  • Strong knowledge of machine learning pipelines and MLOps practices (e.g., MLflow), including versioning, monitoring, and lifecycle management.
  • Strong experience applying quantitative techniques (normalization, standardization, applied statistics) to analyze large, complex datasets and build deployable machine learning models, including in cloud environments such as AWS or Azure.
  • Experience designing, training, fine‑tuning, and deploying deep learning models using frameworks such as PyTorch or TensorFlow.
  • Experience working with large language models (LLMs), including fine‑tuning, evaluation, and deployment; or demonstrated deep knowledge of LLM concepts and architectures.
  • Experience operating in a technical leadership or mentoring role.

Salary range: $107,500 - $204,500 USD.

Benefits are available to Hired applicants, including medical, dental, vision, life insurance, short‑term and long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits depend on the business unit and collective‑bargaining agreement.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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