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Entry Level Machine Learning Engineer Jobs in Phoenix, AZ

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

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 ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

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

CNH Industrial N.V.

AI Development Engineer

Tempe, AZ · On-site

$111K - $163K/yr

Engineering and Technical Job Type for Job Posting: Full Time Working Mode for Job Posting: Hybrid ... Generating software systems derived from various Machine Learning (ML) techniques to drive ...

TSMC

Quality Management Engineer

Phoenix, AZ

$88K - $114K/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 ...

TSMC

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/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 ...

Pwc

US Tech - AI Engineering Senior Associate

Phoenix, AZ · On-site

$55K - $187K/yr

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 ...

IntraEdge

GEN AI Engineer II

Phoenix, AZ

$114K - $137K/yr

... of machine learning alogrithms, software architecture, libraries and frameworks to create AI that accomplishes outlined goals Rigorous knowledge of Python programming to develop software. Java is a ...

Amat

Epic Lab Software Engineer

Chandler, AZ

$132K - $181K/yr

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value ...

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

Entry Level Machine Learning Engineer information

See Phoenix, AZ salary details

$29.8K

$68.9K

$117.2K

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

As of Jul 13, 2026, the average yearly pay for entry level machine learning engineer in Phoenix, AZ is $68,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $77,900.00 per year, depending on experience, location, and employer.

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 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 most commonly searched types of Machine Learning Engineer jobs in Phoenix, AZ? The most popular types of Machine Learning Engineer jobs in Phoenix, AZ are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Phoenix, AZ? For Entry Level Machine Learning Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Phoenix, AZ look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Entry Level Machine Learning Engineer jobs? Cities near Phoenix, AZ with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $68,870 per year, or $33.1 per hour.
AI Engineer with Security Clearance

AI Engineer with Security Clearance

Agensys Corporation

Phoenix, AZ • On-site

Other

Posted 25 days ago

Job description

Overview: We are looking for an AI/ML Engineer to develop, implement, and scale machine learning and generative AI solutions. This position blends strong software engineering expertise with practical experience building applications powered by modern AI frameworks and large language models. Required Skills Software Engineering * Proficient in Python and SQL; experience with Java or JavaScript is a plus * Basic front-end knowledge including HTML and CSS * Experience developing APIs using frameworks such as FastAPI * Familiarity with containerization and deployment using Docker Machine Learning Fundamentals * Hands-on experience developing and deploying machine learning models, including deep learning solutions * Strong understanding of model selection, evaluation techniques, and performance tuning * Experience operationalizing ML pipelines and monitoring model performance in production Frameworks & Tools * Practical experience working with LLM APIs and orchestration tools such as LangChain or LangGraph * Familiarity with platforms like Azure ML, Snowflake Cortex, and MLflow for managing the ML lifecycle Modern AI Concepts * Knowledge and experience with: * Vector databases and semantic search techniques * Retrieval-Augmented Generation (RAG) * Embeddings, chunking methods, and reranking strategies * Frameworks used to evaluate LLM performance * Tool usage and agent-based architectures * Optimizing cost and latency for AI-driven workloads Ideal Candidate * Demonstrates ownership across the full lifecycle, from initial prototype through production release * Comfortable building scalable AI-driven systems that deliver measurable business outcomes * Strong communicator who can clearly convey technical ideas in a business context * Candidates with a combination of strong engineering fundamentals and hands-on generative AI experience, especially with RAG architectures and production-level LLM applications-will be particularly competitive. Minimum Qualifications * Strong proficiency with Python, SQL, FastAPI, and Docker * Experience integrating LLM APIs and working with at least one orchestration framework (LangChain or LangGraph) * Exposure to enterprise AI platforms such as Azure ML, Snowflake Cortex, or MLflow

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