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Entry Level Machine Learning Jobs in Phoenix, AZ

MSR-FSR

Entry Level Install Technician

Chandler, AZ · On-site

$17.50 - $20.75/hr

Learning + Development: You will receive comprehensive, on the job training that will include ... of the machinery components that go into the manufacturing of semiconductors. This work is about ...

MSR-FSR

Entry Level Install Technician

Chandler, AZ · On-site

$17.50 - $20.75/hr

Learning + Development: You will receive comprehensive, on the job training that will include ... of the machinery components that go into the manufacturing of semiconductors. This work is about ...

MSR-FSR

Entry Level Install Technician

Chandler, AZ · On-site

$17.75 - $21/hr

Learning + Development: You will receive comprehensive, on the job training that will include ... of the machinery components that go into the manufacturing of semiconductors. This work is about ...

Microchip Technology

Engineer I-Software

Chandler, AZ · On-site

We are seeking a motivated and passionate entry level Full Stack Software Engineer to join our ... Exposure to machine learning concepts such as regression, classification, and model evaluation.

Microchip Technology

Engineer I-Software

Chandler, AZ · On-site

We are seeking a motivated and passionate entry level Full Stack Software Engineer to join our ... Exposure to machine learning concepts such as regression, classification, and model evaluation.

Komatsu

Electrician Apprentice

Mesa, AZ

Komatsu is offering a paid entry-level apprenticeship for an Electrician! In this role you'll ... Assistance with troubleshooting, new machine builds, and relocation of machines * Work under ...

Komatsu

Electrician Apprentice

Mesa, AZ · On-site

Komatsu is offering a paid entry-level apprenticeship for an Electrician! In this role you'll ... Assistance with troubleshooting, new machine builds, and relocation of machines * Work under ...

Hertz

Tire and Lube Technician

Phoenix, AZ

$24/hr

Career Growth with hands on learning. Educational Background: * High School Diploma or equivalent ... Professional Experience: * Entry level position with no required experience. * Preferred prior ...

Hertz

Tire and Lube Technician

Phoenix, AZ · On-site

$24/hr

Career Growth with hands on learning. Educational Background: * High School Diploma or equivalent ... Professional Experience: * Entry level position with no required experience. * Preferred prior ...

R+L Carriers

Call Center CSR

Phoenix, AZ · On-site

$18/hr

Data Processing- Entry-level skills * Organization Skills and practices * Proficient time ... Filing, Copy-Fax Machine * Computer knowledgeable- Internet basics, computer security practices ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Phoenix, AZ

Entry Level Machine Learning information

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

As of Jun 14, 2026, the average hourly pay for entry level machine learning in Phoenix, AZ is $16.68, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $18.12 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 $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

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 skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

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 engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Phoenix, AZ? The most popular types of Machine Learning jobs in Phoenix, AZ are:
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What job categories do people searching Entry Level Machine Learning jobs in Phoenix, AZ look for? The top searched job categories for Entry Level Machine Learning jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Entry Level Machine Learning jobs? Cities near Phoenix, AZ with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
entry level Java Developer/Data engineer

entry level Java Developer/Data engineer

SynergisticIT

Tempe, AZ

$49.75 - $64.25/hr

Other

Posted 8 days ago

Job description

Applied Everywhere? Still No Interviews or Offers? Get Hired with a Process!
Many job seekers assume the tech market has shut down, but the truth is companies are still hiring - they're just being more selective. That means only the most prepared, polished, and employer-ready candidates get through.If you've sent out hundreds-maybe thousands-of applications and your inbox is still silent, it doesn't mean you're not capable. It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now. In today's market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT solves-because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers.
Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands-think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more-often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple: close the gap between what you know and what employers expect you to prove.
Here's the truth employers hire based on whether you can handle real work-clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That's why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
What roles are in demand right now?
A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request.
Who benefits most from this model?
If you're applying and not seeing results, you're likely in one of these situations:
  • You have skills, but your resume doesn't show impact and your projects look generic
  • You know tools, but you can't explain them confidently in interviews
  • You've learned from courses, but you lack real-world structure and job alignment
  • You've built a portfolio, but it doesn't match what hiring managers evaluate
SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired" bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).
If you want to explore here are the key links:
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact Us (Fill the Form): https://www.synergisticit.com/contact-us/
You don't need more random applications. You need a job-ready plan. Start smarter-start with the right support.
Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

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