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Entry Level Machine Learning Engineer Jobs in Tempe, AZ

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

$113K - $136K/yr

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

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 ...

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 ...

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 ...

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 ...

Data Engineering & Pipeline Development · Develop and maintain scalable data pipelines on Google ... Machine Learning · Build, train, evaluate, and deploy machine learning models. * Apply supervised ...

New

Strong understanding of machine learning fundamentals, deep learning architectures, and natural language processing (NLP) Proficiency in programming languages like Python and familiarity with deep ...

New

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 ...

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Entry Level Machine Learning Engineer information

See Tempe, AZ salary details

$29.2K

$67.5K

$114.8K

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

As of Jul 18, 2026, the average yearly pay for entry level machine learning engineer in Tempe, AZ is $67,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,400.00 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 Tempe, AZ? The most popular types of Machine Learning Engineer jobs in Tempe, AZ are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Tempe, AZ? For Entry Level Machine Learning Engineer jobs in Tempe, AZ, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Tempe, AZ look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Entry Level Machine Learning Engineer jobs? Cities near Tempe, AZ with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in Tempe, AZ as of July 2026, with employment types broken down into 1% Locum Tenens, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $67,500 per year, or $32.5 per hour.
Anti-Fraud Risk Engineer

Full-time

Re-posted 4 days ago


Job description

Company Description

Our Client, is an award-winning workplace. They have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation, Diversity, and more! Not to mention they've been awarded by Glassdoor as the 2nd Best US workplace & Best Large Company US CEO in 2018, Wealthfront, and Business Insider. They culture focuses on delivering happiness, our commitment to transparency, and the tangible benefits we provide our employees and our customers.

Job Description

POSITION TITLE: Anti-Fraud Risk Engineer
LOCATION: Phoenix AZ 
SALARY: Based on Experience 
SPONSORSHIP: No 
Responsibilities:

  • Teamwork with different function teams to design abuse, porn, tele-fraud detection model base on different business product requirement and protection policy.
  • Responsible for developing telephone anti-fraud, anti-spam, anti-pornography, anti-abuse registration and other services
  • Responsible for the implementation and practice of related algorithms under the current mainstream stream computing platform
Qualifications
  • 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 stream computing, such as Spark, Flink, etc. And familiar with machine learning platforms Tensorflow, Pytorch, Mxnet, etc.
  • The basic algorithms and deep learning algorithms of related machine learning have a deep understanding and mastery, and require the use of related algorithms, experience in the processing of common procedures in feature engineering, and excellent engineering practice capabilities
  • Experience in algorithms such as, anti-fraud, telecommunication risk control, recommendation system, advertising orientation, click model, etc. is preferred
  • Strong research capabilities, such as high-quality papers published in the field ** conferences such as CVPR, ICCV, ICML, NIPS, etc.
  • ACMICPC, NOI / IOI, Top coder, Kaggle competition winners are preferred
  • Research experience related to graph learning and few-shot learning is preferred
  • Language requirement: English, Mandarin is plus
Additional Information

All your information will be kept confidential according to EEO guidelines.