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Entry Level Machine Learning Jobs in Arizona (NOW HIRING)

Corning

Equipment Technician Trainee

Tolleson, AZ · On-site

$29 - $30.50/hr

... machinery and equipment in a manufacturing or industrial environment. This entry-level role provides hands-on experience, supporting senior technicians while learning troubleshooting, preventive ...

Corning

Equipment Technician Trainee

Phoenix, AZ

$29 - $30.50/hr

... machinery and equipment in a manufacturing or industrial environment. This entry-level role provides hands-on experience, supporting senior technicians while learning troubleshooting, preventive ...

Corning

Equipment Technician Trainee

Tolleson, AZ

$29 - $30.50/hr

... machinery and equipment in a manufacturing or industrial environment. This entry-level role provides hands-on experience, supporting senior technicians while learning troubleshooting, preventive ...

Cook & Boardman

Installer

Phoenix, AZ · On-site

Career Growth: You'll benefit from continuous learning, mentorship, and leadership training ... These may include outdoor weather, proximity to forklifts or other heavy machinery, and the use of ...

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Entry Level Machine Learning information

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

As of Jul 8, 2026, the average hourly pay for entry level machine learning in Arizona is $16.27, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $17.69 per hour, depending on experience, location, and employer.

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 is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

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.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

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 jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Arizona? The most popular types of Machine Learning jobs in Arizona are:
What are popular job titles related to Entry Level Machine Learning jobs in Arizona? For Entry Level Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Arizona look for? The top searched job categories for Entry Level Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Machine Learning jobs? Cities in Arizona with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Arizona as of July 2026, with employment types broken down into 1% Locum Tenens, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $33,852 per year, or $16.3 per hour.
Equipment Technician Trainee

Equipment Technician Trainee

Corning

Tolleson, AZ • On-site

$29 - $30.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Corning rating

8.2

Company rating: 8.2 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

82nd of 529 rated manufacturers

Job description

Requisition Number: 76198
The company built on breakthroughs.
Join us.
Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.
How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Our Solar business delivers industry leading, U.S.-made solar components. We manufacture hyper-pure polysilicon, high-quality solar wafers, and innovative photovoltaic modules, leveraging our leadership in advanced manufacturing to serve growing energy demand. You will be a part of advancing critical U.S. supply chains and delivering unmatched quality and reliability to customers.
Purpose of the Role:
The Equipment Technician Trainee assists with the maintenance, inspection, and support of machinery and equipment in a manufacturing or industrial environment. This entry-level role provides hands-on experience, supporting senior technicians while learning troubleshooting, preventive maintenance, and operational best practices.
Key Responsibilities:
  • Assist in routine inspections and preventive maintenance of machinery and equipment.
  • Help troubleshoot basic mechanical, electrical, and operational issues under supervision.
  • Operate hand and power tools safely to support maintenance tasks.
  • Document work performed, including repairs, parts used, and maintenance observations.
  • Assist in installations, calibrations, or adjustments of equipment.
  • Report equipment issues promptly to senior technicians or supervisors.
  • Support the setup and preparation of equipment for production runs.
  • Assist in ensuring equipment and work areas meet safety and operational standards.
  • Help organize and maintain tools, spare parts, and maintenance supplies.
  • Work closely with senior technicians and other maintenance staff to complete tasks.
  • Participate in training and mentoring to develop technical skills and knowledge.
  • Follow all safety protocols and company procedures to ensure a safe working environment.

Qualifications:
  • High school diploma or equivalent required.
  • Vocational training or technical certification required.
  • 0-2 years of experience in equipment maintenance, support, or related technical field; school labs or internships acceptable.
  • Basic understanding of mechanical, electrical, or industrial systems.
  • Ability to use hand tools and basic diagnostic equipment.
  • Strong attention to detail and problem-solving skills.
  • Effective communication skills and willingness to learn.
  • Ability to work independently or as part of a team in a fast-paced environment.

Work Environment:
The role involves physical labor, exposure to varying temperatures, and handling potentially hazardous materials. Proper personal protective equipment (PPE) will be provided and must be used at all times. May be required to work after hours and on weekends or holidays.
This position does not support immigration sponsorship.
The range for this position is $29.00 hourly rate - $30.50 hourly rate. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.
A job that shapes a life.
Corning offers you the total package.
Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.
  • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
  • As part of our commitment to your financial well-being, Corning provides company matching contributions to your 401(k) savings plan of up to 4% of pay when you contribute at least 6% of pay.
  • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.

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