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Entry Level Machine Learning Jobs in Tucson, AZ (NOW HIRING)

The position for which you are applying includes entry-level through advanced master certified ... Reports machinery defects or malfunctions to supervisor. * Attends departmental meetings and ...

Entry Level Machine Learning information

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$10

$15

$18

How much do entry level machine learning jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for entry level machine learning in Tucson, AZ is $15.01, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $16.35 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in Tucson, AZ?

The most popular types of Machine Learning jobs in Tucson, AZ are:

What are popular job titles related to Entry Level Machine Learning jobs in Tucson, AZ?

For Entry Level Machine Learning jobs in Tucson, AZ, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in Tucson, AZ look for?

The top searched job categories for Entry Level Machine Learning jobs in Tucson, AZ are:

What cities near Tucson, AZ are hiring for Entry Level Machine Learning jobs?

Cities near Tucson, AZ with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Tucson, AZ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $31,230 per year, or $15 per hour.

2027 Engineering Rotational Development Program (ERDP) - Product Development Track

Caterpillar Financial Services Corporation

Tucson, AZ • On-site

$81 - $134/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Career Area:

Engineering

Job Description: Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Start Your Career with Purpose

Are you ready to apply your engineering education to real-world challenges? Caterpillar's Engineering Rotational Development Program (ERDP) is designed for entry-level professionals like you. Through rotational assignments, you'll continue developing your skills and knowledge—helping you achieve your career goals while contributing to Caterpillar's mission of delivering exceptional products, services, and technologies to our customers. Our Engineering Rotational Development Program is an entry-level program designed to build employees' skill sets within the discipline and continue growth, even after the successful completion of the program.

This 12 to 18-month program provides practical experience across multiple engineering teams and technologies. It's more than just a job, it's a launchpad for your future at one of the world's leading manufacturers of construction and mining equipment.

What the Program Offers

As part of the ERDP, you'll rotate through different teams and projects that match your skills, knowledge, and abilities. You'll work on meaningful projects, connect with mentors, and get exposure to various areas of the company. Here are just a few paths you might explore:

  • Product Design: Design components and systems for Caterpillar products to meet customer needs. Collaborate with cross-functional teams throughout the value chain—from concept to production to deliver effective solutions.
  • Simulation/Performance Analysis: Conduct analyses such as CFD (ANSYS), FEA (Finite Element Analysis), 3D modelling, system/subsystem/component design optimization, structural dynamics, development and optimization of engine, aftertreatment, battery, fuel cell, powertrain, and/or machine system performance.
  • Test/Validation/Hands-on: Apply strong mechanical engineering understanding in a test/validation (hands-on) environment, troubleshooting issues, and collaborating with others for optimal results.
  • Controls Development: Develop/implement control system algorithms using Matlab/Simulink for various control systems including, but not limited to, engine controllers, machine implement controllers, as well as powertrain controllers. Will be responsible for understanding the feature requirement, implementing it, as well as testing it prior to a production rollout.
  • Electronic Components: Design and test various electronic control modules, as well as various electronic components. Work with various internal Caterpillar clients to understand controller/component requirements, help design PCB (Printed Circuit Board) layouts, as well as perform digital/analog/power circuit analysis and testing. Other duties may include working with suppliers, testing the controllers/components in various environments, ensuring that FMEAs (Failure Mode and Effects Analysis) are conducted and documented to meet stringent Caterpillar quality requirements.
  • Embedded Software Development: Develop embedded software in C, C#, and/or C++ for various electronic control modules. Some examples of embedded software development applications include Datalink communications, inputs and outputs (sensors and actuators), speed calculation, injection/spark timing, memory management, CPU optimization, multi-core design and implementation. In addition, some areas of work include developing scripts in Python/Visual Basic for automation.
  • Software Validation/Verification for Electronic Systems: Verify functionality of a feature or control system algorithm on a HIL (Hardware in the Loop) simulator bench or a SIL (Software in the Loop) system. Understand the requirements of the feature and/or the schematics of the controller/control system, verify functionality and debug/report anomalies to the development team, and help validate fixes.
  • Engineering Data Analytics: Write and understand computer code, Python, analytics/data science experience, apply machine learning concepts/tools, engineering and statistics fundamentals.
  • Process Engineering: Apply mechanical, manufacturing, systems and/or industrial engineering knowledge to analyze and optimize an engineering process or processes. Leverage problem-solving and communication skills.
What You Have – Skills and Experiences

In this role, you will have the opportunity to contribute your unique skills and experiences. Below are some of the most critical skills:

  • Analytical skills, initiating ideas, troubleshooting, root cause analysis, problem-solving, and critical thinking capabilities
  • Knowledge of engineering principles, theory, and engineering experience gained through projects, internships, and/or relevant work experience
  • Fundamental understanding of engineering for a manufacturing environment and the ability to design and implement materials, structures, machines, devices, systems, and processes that safely realize a desired objective or invention
  • Ability to manage multiple projects simultaneously and quickly acquire and apply new skills and knowledge
  • Collaborate with others of diverse cultures, interpersonal styles, and abilities
  • Strong written and verbal communication skills
  • Participate in and build on our inclusive, constructive, and productive work environment
  • Ensure all team members' contributions are recognized and valued
Program Qualifications
  • Must have an ABET-accredited Bachelor's or master's degree in mechanical, Electrical, Computer, Agricultural, or Aerospace Engineering; Engineering Technology; or a related technical discipline (selected candidates must obtain their degree before they start)
  • Must have a minimum cumulative grade point average (GPA) of 3.0/4.0 or higher (no rounding)
  • Candidates with prior professional work experience must have 12 months or less of such experience, excluding internships
  • Willing to relocate and travel as needed
Top Candidates May Also Have
  • Involvement with a campus design/competition team or related experience
  • Project or team leadership experience
  • Previous technical internship/co-op or relevant experience
  • Excellent interpersonal and communication skills
  • Intellectual curiosity, adaptability, and a willingness to learn by doing
Additional Information
  • Must attach your resume and an unofficial/official copy of your transcript to your application
  • Applicants will be considered for positions throughout the United States
  • Most positions are based in Peoria, Illinois, with limited availability in other United States' locations
  • This is a Monday through Friday, in-person opportunity—perfect for building relationships, learning fast, and diving deep into your rotations
  • Sponsorship is NOT available for this position
  • Relocation is available to those who qualify
  • 2027 available start dates – February 1, 2027; June 7, 2027; July 12, 2027; or August 2, 2027 (seats are limited for each start date)
Why Choose Caterpillar?

We're a values-driven company where you'll feel your work matters—whether you're optimizing machine performance, writing embedded code, or designing the next innovation in clean energy. You'll gain access to top-tier mentorship, technical resources, and real ownership of your work from day one.

Summary Pay Range:

$81,370.00 - $133,810.00

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Benefits:

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees

Relocation is available for this position. Visa Sponsorship is not available for this position.

Posting Dates:

August 17, 2026 - December 30, 2026

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

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