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Machine Learning Trainee Jobs in Arizona (NOW HIRING)

... learning the monitoring system on tailings line and may assist in performing adjustments as ... machines, forklifts, and utilize hand and power tools Perform area housekeeping Perform other ...

... trainee's prior experience and performance and learning progress during the Management Training ... Maintenance - Maintain and clean equipment, machines, and appliances regularly to ensure freshness ...

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Machine Learning Trainee information

What is a machine learning trainee?

Machine Learning Trainees are entry-level professionals or students who are learning the fundamentals of machine learning, including algorithms, data analysis, and model development. They often work under the guidance of experienced data scientists or engineers to gain hands-on experience with real-world datasets and tools. Their responsibilities may include data preprocessing, implementing basic models, and assisting in research or software development. This role is typically designed to help individuals build foundational skills needed for more advanced machine learning positions.

What kind of projects and tasks can I expect to work on as a machine learning trainee?

As a Machine Learning Trainee, you'll typically assist with data preprocessing, exploratory data analysis, model implementation, and performance evaluation under the guidance of senior data scientists or engineers. You may help clean and organize datasets, experiment with different algorithms, and document your findings. Collaboration is a key part of the role, as you'll often work alongside cross-functional teams, including software developers and business analysts, to support ongoing projects. This hands-on experience provides a strong foundation for advancing to more specialized or independent roles in machine learning.

What are the key skills and qualifications needed to thrive as a machine learning trainee?

To thrive as a Machine Learning Trainee, you need a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts, often supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, and data visualization libraries, as well as version control systems such as Git, is commonly expected. Strong problem-solving abilities, eagerness to learn, and effective communication help trainees excel in collaborative and fast-evolving environments. These skills and qualities are crucial for quickly adapting to new technologies, understanding complex data, and contributing meaningfully to machine learning projects.

What is the difference between Machine Learning Trainee vs Data Scientist?

AspectMachine Learning TraineeData Scientist
Required CredentialsBasic understanding of programming, statistics, and machine learning concepts; often pursuing or recent graduatesAdvanced degree (Master's or PhD) in data science, statistics, or related fields; more experience
Work EnvironmentEntry-level, training-focused roles in tech companies, startups, or research labsFull-fledged data analysis, modeling, and decision-making roles in various industries
Employer & Industry UsageCompanies hiring for entry-level machine learning roles, internships, or training programsOrganizations leveraging data science for strategic insights, product development, or research

The main difference between a Machine Learning Trainee and a Data Scientist lies in experience, responsibilities, and skill level. Trainees are typically beginners gaining foundational knowledge, while Data Scientists are experienced professionals performing complex data analysis and modeling tasks.

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 Machine Learning Trainee jobs in Arizona?

For Machine Learning Trainee jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Machine Learning Trainee jobs in Arizona look for?

The top searched job categories for Machine Learning Trainee jobs in Arizona are:

What cities in Arizona are hiring for Machine Learning Trainee jobs?

Cities in Arizona with the most Machine Learning Trainee job openings:

Infographic showing various Machine Learning Trainee job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Inside Sales Trainer III (Phoenix)

Phoenix, AZ • On-site

Waste Management
Environmental Consulting Services • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Waste Management rating

7.5

Company rating: 7.5 out of 10

Based on 660 frontline employees who took The Breakroom Quiz


Job description

I. Job Summary
This position primarily provides a level of expertise in facilitating classroom learning, evaluating participant performance, and coaching to reinforce learning at the Phoenix Sales Center. Prepares for learning events, conducts classroom management, facilitates courseware, and conducts assessments. Implements and maintains processes, procedures and programs to ensure a positive learning experience for participants. Secondarily, this position is introduced to beginner level development of training materials and supervisor duties.
II. Essential Duties and Responsibilities
 

  • Uses the instructional materials (Instructor Guides, learning objectives, assessments, activities) and content to prepare and execute the learning intervention to ensure mastery of the training objectives
  • Facilitates training courseware and practice activities (group discussion, brainstorming, questioning) to ensure mastery of training objectives.
  • Coordinates the delivery and instruction of material for both new and existing training offerings.
  • Selects the appropriate learning modes (energizers, icebreakers, games, simulations, role-plays, etc.) to engage trainees in active learning to maximize on the job performance
  • Uses various instructional strategies (guided learning, hands on exercises, classical approaches) to ensure the content is delivered given the learning environment
  • Guides a group to acquire skills, make decisions, or complete tasks by use of facilitation techniques.
  • Uses classroom management techniques to engage trainees, manage unproductive participant behavior, respond to unexpected issues, and keep trainees focused on the task at hand
  • Seeks to understand the true nature of the performance gap (what it is and why it exists)
  • Performs needs assessments of participants during classroom instruction.
  • Develops a holistic view of performance problems, identifies root causes, and suggests training-based solutions.
  • Uses appropriate delivery skills; voice, body movement, gesture, eye contact, question handling, etc. to engage the trainees.
  • Works independently with project management aptitude.
  • Attends to all class room set up (communications, evaluations, recaps, pre-work, materials requests, LMS requirements, room set up and breakdown etc.) to ensure scheduled session is prepared and productive throughout.
  • Prepares and executes communication of future training.
  • Manages any assigned tasks or projects.
  • Observes, evaluates and coaches learners as needed (post-training) based on performance and engagement.
  • Guided by Manager, evaluates and coaches trainers based on performance and post-course feedback.
  • Mentors team members to improve overall success and support company key objectives.
  • Reviews edits and enhancements in training curriculum and materials on an as needed basis.
  • Participates in team planning activities to assist with implementing and training related strategic initiatives.
  • Assists with development of training materials.
  • Participates with Manager and clients to identify and prioritize training needs.
  • Generates training reports for key stakeholders.
  • Analyzes training related metrics and develops insights that highlight impact and adoption of training programs and its correlation to business outcomes.


III. Qualifications 
A. Required Qualifications 
 

  • Bachelor's Degree (accredited) in Business, Marketing, Human Resources or Education
  • High School Diploma or GED (accredited) and four years of relevant experience
  • 5 years of relevant work experience delivering and facilitating training programs (in addition to education requirement) and
  • 5 years of experience with learning management systems and creating reports


B. Preferred Qualifications 
IV. Physical Requirements
Listed below are key points regarding physical demands, physical and occupational risks, and the work environment of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job.
Office: This job primarily operates in a professional office environment and routinely requires the use of standard office equipment such as computers, phones, copy machines, etc.
V. Benefits 
At WM, each eligible employee receives a competitive total compensation package that includes medical, dental, vision, life insurance, and short-term disability. In addition, we offer a stock purchase plan, company matching on a 401(k), and more. Employees also receive paid vacation, holidays, and personal days. Please note that benefits may vary by site. 

If this sounds like the opportunity that you have been looking for, please click Apply.

ABOUT WM

WM (WM.com) is North America's leading provider of comprehensive environmental solutions. Previously known as Waste Management and based in Houston, Texas, WM is driven by commitments to put people first and achieve success with integrity. The company, through its subsidiaries, provides collection, recycling and disposal services to millions of residential, commercial, industrial, medical and municipal customers throughout the U.S. and Canada. With innovative infrastructure and capabilities in recycling, organics and renewable energy, WM provides environmental solutions to and collaborates with its customers in helping them pursue their sustainability goals. WM has the largest disposal network and collection fleet in North America, is the largest recycler of postconsumer materials and is a leader in beneficial use of landfill gas, with a growing network of renewable natural gas plants and the most landfill gastoelectricity plants in North America. WM's fleet includes more than 12,000 natural gas trucks - the largest heavyduty natural gas truck fleet in the industry in North America. Healthcare Solutions provides collection and disposal services of regulated medical waste, as well as secure information destruction services, in the U.S., Canada and Western Europe. To learn more about WM and the company's sustainability progress and solutions, visit Sustainability.WM.com.

Equal Employment Opportunity

For United States:  WM is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

For Canada:  WM is committed to the principle of equal employment for all applicants and employees, without discrimination on the basis of all grounds protected by applicable human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Please notify us if you require accommodation.

Real ID

In order to travel by air or access federal property, federal law requires individuals have a REAL ID or an acceptable alternative. This position may require the successful candidate to travel by air for business reasons or service federal property. Accordingly, successful candidates must have, or be willing to obtain, a REAL ID or TSAapproved alternative.

What is the value of a WM job? At WM we know that the value of a WM job is more than a paycheck. It's a way to create opportunities for you and your family. This is why we are constantly working to make WM a great place to work and grow a career. We Are WM is what defines the perks of being in the WM family - from benefits, to resources and engagement activities. 

We are People First. We are Committed to Your Growth. We Are Investing in You. We are a Family. We are Stable. We are Always Working for a Sustainable Tomorrow. 

What Waste Management employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


WM logo

About WM

Sourced by ZipRecruiter

Industry

Environmental consulting services and water, sewage, waste, steam, air heating and cooling systems

Company size

10,000+ Employees

Headquarters location

Houston, TX, US