How much does a Machine Learning Engineer make in Arizona? The average Machine Learning Engineer salary in Arizona is $103,016 as of February 26, 2024, but the range typically falls between $94,165 and $112,412. Salary ranges can vary widely depending on the city and many other important factors, including education, certifications, additional skills, the number of years you have spent in your profession.

Based on HR-reported data: a national average with a geographic differential
Machine Learning Engineer Salaries by Percentile
Percentile Salary Location Last Updated
10th Percentile Machine Learning Engineer Salary $86,107 AZ February 26, 2024
25th Percentile Machine Learning Engineer Salary $94,165 AZ February 26, 2024
50th Percentile Machine Learning Engineer Salary $103,016 AZ February 26, 2024
75th Percentile Machine Learning Engineer Salary $112,412 AZ February 26, 2024
90th Percentile Machine Learning Engineer Salary $120,967 AZ February 26, 2024
25% $94,165 10% $86,107 90% $120,967 75% $112,412 $103,016 50%(Median) Didn’t find job title? Click
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What is a Machine Learning Engineer ?

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model of sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.:2 Machine learning algorithms are used in a wide variety of applications, such as email filtering, and computer vision, where...

Source: Wikipedia (as of 04/25/2019). Read more from Wikipedia

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Location Avg. Salary Date Updated
Location Aguila, AZ Avg. Salary $102,853 Date Updated February 26, 2024
Location Ajo, AZ Avg. Salary $101,482 Date Updated February 26, 2024
Location Alpine, AZ Avg. Salary $99,787 Date Updated February 26, 2024
Location Amado, AZ Avg. Salary $98,725 Date Updated February 26, 2024
Location Apache Junction, AZ Avg. Salary $103,360 Date Updated February 26, 2024
Location Arivaca, AZ Avg. Salary $98,725 Date Updated February 26, 2024
Location Arizona City, AZ Avg. Salary $102,869 Date Updated February 26, 2024
Location Arlington, AZ Avg. Salary $102,853 Date Updated February 26, 2024
Location Ash Fork, AZ Avg. Salary $97,849 Date Updated February 26, 2024
Location Avondale, AZ Avg. Salary $103,624 Date Updated February 26, 2024
Job Openings for Machine Learning Engineer in Arizona
Mastech Digital - Alpharetta , GA
Looking for candidates local to Atlanta, GA area. Only W2. no C2C. Role: Machine Learning Engineer Location: Alpharetta, GA Type: Contract to Hire W2 Role Local to GA To Succeed in this role, you need: Advanced degree in Computer Science, Engineering, or other STEM field with minimum 2 years of industrial experience Solid understanding of active and continuous learning methodology and machine learning algorithms and techniques, such as regression, classification, clustering, and deep learning Experience with Python/Java, including deep learning frameworks and tools such as PyTorch, TensorFlow, Hugging Face, Spacy. Internships/work experience with machine learning, deep learning, reinforcement learning Experience with cloud environments(AWS, Azure, GCP) and big data processing frameworks such as Spark. Ability to learn by doing, to adapt to ever-changing requirements and have a bias for action and outcome Strong written and verbal communication skills. Regards, Yogesh Singh Rana yogesh.
- Today
PAXAFE - Indianapolis , IN
Who we are Our supply chain lacks visibility! Every Pharmaceutical supply chain, transportation and quality executive. Although thats not quite accurate. In fact, most companies already have an abundance of IoT and passive logger data. What they dont have is contextual and operational data that enables -- action. PAXAFE bridges the trust gap between manufacturers, shippers and service providers by contextualizing data into meaningful information. We believe that the intersection between supply chain, technology and insurance is ripe for innovation, and we believe that we can become the most accurate arbiter of quantifying, predicting and underwriting supply chain risk. Because the scariest notion in business: weve always done it that way. What we do PAXAFE provides an autonomous AI-enabled decision support system for supply chain leaders to exhibit resiliency and automation from their visibility investments. PAXAFEs SaaS platform CONTXT is a device-agnostic risk-management platform (po
- Today
TheTalentos, LLC - Atlanta , GA
About the job Machine Learning Engineer We are supporting a client in the Risk and Insurance industry in the search for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry. As an experienced innovator partnering with the marketing and growth teams, this is a massive opportunity to drive high growth impact at a hyper-growth startup. Your job is to be a full-stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring. You will be joining an innovative division of based in Atlanta: Data Labs. The mandate of Data Labs is to build software and data solutions that meaningfully impact marketing, funnel, risk, and servicing/claims experiences. What You'll Do: Empower our team of data scientists to rapidly develop and deploy ML solutions. Leverage so
- 1 day ago
BayOne Solutions - Austin , TX
Title - Software Developer / ML Engineer Location: Remote ROLE (Great if candidate can do hybrid from Austin, TX) Duration: 12+ Months Pay Rate: $70 - $75/Hr on W2 Description: Ability to write robust code in one or more of Python, Go, and Java Proficient in core technologies like Spark, Hadoop and Hive. Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis. Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch. (good to have) Familiar with cloud services like AWS, Azure, and workflow orchestration tools (e.g., Airflow). Degree with a strong technical focus (Computer Science, Engineering). Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines. Work collaboratively with data scientists, machine learning engineers, program and product managers in the development of
- 2 days ago
Keystone - Seattle , WA
Keystone is a premier consulting firm that combines economics, technology, and strategy to solve complex challenges facing global brands. We impact society on a global scale by working at the forefront of influential technology cases changing consumer behavior and regulation laws. We also provide value by delivering insights and product that defines the future of the technological ecosystem. Keystone brings an interdisciplinary approach, leveraging the intersection of economics, software and technology, and business strategy to deliver transformative ideas. At Keystone we believe everything is an opportunity for creativity. Transformative ideas can contradict common knowledge. Work hard and be nice to people. Trust can get through catastrophe. Impact takes work. It is never too far gone to salvage. We can deliver anything. Unprecedented outcomes come from unconstrained thinking. Position overview: As Staff ML Engineer, you will leverage your deep understanding of machine learning, soft
- 2 days ago
Stefanini Group - Dearborn , MI
Stefanini Group is hiring! Stefanini is looking for Machine Learning Engineer, Location: Dearborn, MI (Hybrid) For quick apply, please reach out Utkarsh Dutt / Phone: 248 263 3997 /Email: utkarsh.dutt@stefanini.com Open to W2 candidates only! Looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. Collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. The team you will be working on is focused on building Mach1ML platform – an AI/ML enablement platform to democratize Machine Learning across enterprises (like Uber's Michelangelo, Facebook's FBLearner, etc.). Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company. Work with software and ML engineers/Data Scientist to tac
- 3 days ago

Career Path for this job

  1. Down a level:

    Software Engineer II

    2 - 4 years experience
    Bachelor's Degree

  2. This Job:

    Machine Learning Engineer

    4 - 7 years experience
    Bachelor's Degree

  3. Up a level:

    Software Engineer IV

    7 + years experience
    Bachelor's Degree

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