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Junior Machine Learning Engineer Jobs in Arizona

MY DR NOW

Be Seen First

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

... Machine Learning and Generative AI frameworks • Strong engineering fundamentals and problem-solving skills • A builder mindset -- curious, resourceful, fast-moving, and focused on outcomes ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Google Cloud Professional Machine Learning Engineer Google Cloud Professional Data Engineer AWS Certified Machine Learning Specialty Certified Kubernetes Admin(CKA) Google Professional Cloud ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Provide technical leadership to junior scientists, guiding the transition of R&D concepts into ... Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Provide technical leadership to junior scientists, guiding the transition of R&D concepts into ... Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and ...

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Junior Machine Learning Engineer information

See Arizona salary details

$31.2K

$66.9K

$102K

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

As of Jul 13, 2026, the average yearly pay for junior machine learning engineer in Arizona is $66,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,200.00 and $74,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

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 or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Arizona? The most popular types of Machine Learning Engineer jobs in Arizona are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Arizona? For Junior Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Junior Machine Learning Engineer jobs in Arizona are:
What cities in Arizona are hiring for Junior Machine Learning Engineer jobs? Cities in Arizona with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
AI & Machine Learning Engineer

AI & Machine Learning Engineer

MY DR NOW

Chandler, AZ • On-site

$100K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

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MY DR NOW rating

7.1

Company rating: 7.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

MY DR NOW was built on a simple belief: healthcare should be ridiculously easy.

Making that happen at scale requires more than great providers - it requires world-class technology, intelligent systems, and the discipline to constantly improve how care is delivered.

AI is not an experiment here. We are using it today to remove friction, eliminate waste, improve patient access, support our teams, and build the infrastructure required to deliver healthcare differently.

We are looking for an AI/ML Engineer II who wants to build - someone who sees problems as opportunities, moves quickly from idea to execution, and wants their work to create real impact in the lives of patients and the people caring for them.

What You’ll Do

• Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI
• Build intelligent agents, RAG solutions, prompt workflows, and AI-driven automation
• Develop scalable Python applications, backend services, and enterprise integrations
• Optimize AI/ML models for real-world healthcare operations and patient care
• Write advanced SQL queries to transform healthcare data into actionable intelligence
• Collaborate with technology, operations, and clinical teams to rapidly deliver AI solutions
• Leverage tools like Claude Code, GitHub Copilot, Cursor, and emerging AI platforms to accelerate development
• Ensure solutions meet standards for security, scalability, performance, and HIPAA compliance
• Participate in Agile development, testing, code reviews, and CI/CD practices

What You Bring

• Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, or related field
• 2–3 years of experience building AI/ML or intelligent software applications
• Experience with healthcare technology, data, or workflows
• Strong Python and SQL skills
• Experience developing APIs and integrating enterprise applications
• Knowledge of Machine Learning and Generative AI frameworks
• Strong engineering fundamentals and problem-solving skills
• A builder mindset — curious, resourceful, fast-moving, and focused on outcomes

Preferred Experience

• Azure OpenAI, OpenAI APIs, Azure AI Services
• LangChain, LangGraph, Semantic Kernel, CrewAI
• AI Agents, MCP, Prompt Engineering, Function Calling
• RAG solutions and Vector Databases
• Microsoft Fabric, Azure Data Factory, Azure SQL
• TensorFlow, PyTorch, Scikit-learn, MLflow
• Epic Clarity, Epic Caboodle, FHIR, HL7
• Claude Code, GitHub Copilot, Cursor
• Git, Azure DevOps, CI/CD, Docker, Kubernetes

Company Description

MY DR NOW, the largest privately-held, privately-owned Primary Care Provider in Arizona. We offer a 100% company-paid health insurance, 100% paid licensure & DEA, matching 401k, paid vacation & sick time, PLUS dental, vision, life insurance, and bonuses! At MY DR NOW, we provide the opportunity to grow with us and change the way healthcare is delivered.

What MY DR NOW employees say

Pay

Hours and flexibility

Workplace

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