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Entry Level Machine Learning Engineer Jobs in Arizona

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113.70K - $136.50K/yr

Work with cross-functional team to contribute to machine learning projects throughout the machine learning lifecycle to include analysis, solution design, data pipeline engineering, testing ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Master's degree + 2 years working experience in machine learning * Proficiency in at least one programming language such as Java, Python * Proficiency in big data, the use of frameworks related to ...

Master's degree + 2 years working experience in machine learning * Proficiency in at least one programming language such as Java, Python * Proficiency in big data, the use of frameworks related to ...

Design develop and deploy AI and machine learning models using Python and relevant AI stacks Manage ... engineers and stakeholders to ensure project success Continuously monitor and improve AI system ...

AI ML Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Programming Languages Python Pandas NumPy Scikitlearn SQL ... Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting

Quality Management Engineer

Phoenix, AZ

$88.60K - $114.50K/yr

As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ... Predictive analytics and statistical applications including modeling, machine learning, data ...

Quality Management Engineer

Phoenix, AZ · On-site

$88.60K - $114.50K/yr

As a Quality Management Engineer at tsmc Arizona site, you will co-work with Taiwan Central quality ... Predictive analytics and statistical applications including modeling, machine learning, data ...

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

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Entry Level Machine Learning Engineer information

See Arizona salary details

$28K

$64.6K

$110K

How much do entry level machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for entry level machine learning engineer in Arizona is $64,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $73,200.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
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 Entry Level Machine Learning Engineer jobs in Arizona? For Entry Level Machine Learning Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Machine Learning Engineer jobs? Cities in Arizona with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Arizona as of May 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, 1% Contract, and 1% Nights. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $64,638 per year, or $31.1 per hour.
AI-ML Engineer 1

$98.40K - $118.20K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Summary
We are seeking a motivated and detail-oriented AI/ML Engineer I to join our team. This entry-level position plays a critical role in supporting the design, development, and optimization of scalable AI and machine learning solutions. The ideal candidate has a strong foundation in computer science and data science concepts and is eager to grow within a collaborative and fast-paced environment.
Essential Duties and Responsibilities include the following.  Other duties may be assigned.

  • Design and develop scalable AI solutions using machine learning models and tools 
  • Ensure the scalability, reliability, and performance of AI systems through development and testing 
  • Execute performance testing to assess the efficiency of AI systems when handling large datasets and complex algorithms 
  • Conduct research and testing to build machine learning algorithms and predictive models 
  • Utilize big data tools and cloud platforms to create data pipelines, prototypes, and training datasets 
  • Train, evaluate, and tune machine learning models using frameworks such as TensorFlow, Spark, or scikit-learn 
  • Integrate, test, and monitor AI solutions in production environments 
  • Collaborate with cross-functional teams to support project goals and solution implementation

 Competency

To perform the job successfully, an individual should demonstrate the following competencies.

Technical Skills

  • Programming Proficiency: Solid understanding of Python is essential; familiarity with Java, R, or C++ is beneficial.
  • Machine Learning: Knowledge of basic algorithms (linear regression, decision trees, k-NN, etc.) and supervised/unsupervised learning techniques.
  • AI Tools & Libraries: Familiarity with ML frameworks like scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Handling: Proficient in data wrangling, preprocessing, and working with structured and unstructured datasets using tools like Pandas and NumPy.
  • Big Data Tools: Exposure to tools like Spark or Hadoop is a plus.
  • Cloud Computing: Awareness of cloud platforms (AWS, Azure, GCP) and services like S3, EC2, or SageMaker.

Analytical & Problem-Solving

  • Ability to break down complex problems into solvable components.
  • Experience in basic model evaluation (precision, recall, F1 score).
  • Comfort working with statistical concepts and metrics.

Software Development

  • Understanding of software engineering best practices: version control (Git), testing, and debugging.
  • Exposure to containerization tools (Docker, Kubernetes) is a bonus.

What We Offer:

  • Benefits eligibility starts on your first day as a full-time employee at Universal Avionics.
  • Medical insurance (multiple plan options, including low-deductible PPO)
  • Preventive care covered at 100%
  • Affordable copays for doctor visits, urgent care, and prescriptions
  • Teladoc virtual care access
  • Vision coverage through VSP (includes exams, frames, and lenses)
  • Dental insurance (covers preventive, basic, and major services)
  • 401(k) with immediate safe harbor match (100% match on up to 4% of pay after 60 days)
  • 9/80 work schedule option – every other Friday off
  • Vacation, sick time, and 14 paid holidays (including a week in December)
  • Tuition reimbursement
  • Gym reimbursement
  • Wellness programs:
    • One Pass Select (discounted access to gyms, fitness apps, and more)
    • Travel assistance and employee discounts
  • Employee Assistance Program (EAP) and emotional wellness support:
    • Up to 3 free counseling visits per issue/year through Reliance Matrix
    • Up to 6 free counseling sessions per issue/year through Health Advocate
    • Includes mental health, financial, legal, work-life, medical navigation, and life coaching support
  • And more!

Why You’ll Love Working Here:

  • Universal Avionics offers the best of both worlds: the close-knit, agile culture of a mid-sized company, with the resources and global impact of our parent company, Elbit Systems.
  • Our team is driven by purpose, innovation, and a shared passion for aviation safety.
  • Here's what makes our work environment thrive:
  • A collaborative, supportive team of skilled professionals and mentors
  • Groundbreaking projects that shape the future of avionics technology
  • A company culture that promotes innovation, career growth, and continuous learning
  • Meaningful work that impacts air travel safety around the world
  • A strong work-life balance, including a 9/80 schedule option

 To learn more about Universal Avionics, visit: www.UniversalAvionics.com

 Universal Avionics’ products and technology are subject to U.S. export laws and regulations, including but not limited to the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). As part of our compliance process, we inquire about work authorization and citizenship status to ensure alignment with these regulations.