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Associate Machine Learning Jobs in Arizona (NOW HIRING)

Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model explainability, interpretability techniques, and responsible AI Why do you want to work with us? Stay ...

Demonstrated experience with signal processing, image processing, computer vision, or machine learning * Experience programming in Python, C, C++, MATLAB or similar languages * Intellectual curiosity ...

Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model explainability, interpretability techniques, and responsible AI Why do you want to work with us Stay ...

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Sales Associate

Chandler, AZ

$13.75 - $18.75/hr

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Associate Agile Developer in Test

Phoenix, AZ · On-site

$49.75 - $64/hr

Associate Agile Developer in Test. Type: Contract - 6-month internship Location: Phoenix, AZ ... Experience or interest in using AI/Machine Learning tools (like LLMs) to optimize testing or CI/CD ...

Sales Associate

Blue, AZ · On-site

$13.25 - $18/hr

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

Showing results 41-60

Associate Machine Learning information

See Arizona salary details

$23.1K

$121.4K

$297.6K

How much do associate machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for associate machine learning in Arizona is $121,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $168,300.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Arizona? The most popular types of Machine Learning jobs in Arizona are:
What are popular job titles related to Associate Machine Learning jobs in Arizona? For Associate Machine Learning jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Arizona look for? The top searched job categories for Associate Machine Learning jobs in Arizona are:
What cities in Arizona are hiring for Associate Machine Learning jobs? Cities in Arizona with the most Associate Machine Learning job openings:

Digital Pathology AI Specialist / Computational Pathology Scientist

Mayo Clinic

Scottsdale, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 17 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 697 frontline employees who took The Breakroom Quiz

132nd of 887 rated healthcare providers


Job description


Mayo Clinic Arizona seeks an outstanding scientist for the position of Senior Associate Consultant in Digital Pathology AI / Computational Pathology. This dedicated leadership role focuses on shaping the development, validation, and deployment of machine-learning and AI tools for histopathology images and integrated clinical datasets.
You will lead end-to-end AI initiatives - from problem framing, data curation, multimodal data acquisition, modeling, rigorous evaluation, regulatory considerations, and clinical integration, while collaborating closely with a team of pathologists already engaged in digital pathology work within the department, as well as enterprise informatics, IT teams, computational experts, and clinicians to develop secure, reliable MLOps pipelines.
This pivotal position directly advances DLMP Arizona's digital pathology program by providing essential in-house AI expertise, fully aligning with Mayo Clinic's enterprise-wide Digital Pathology strategic vision. This initiative leverages vast digitized archives (over 15 million slides linked to millions of patient records) to make images and metadata broadly available for practice digitization, AI applications, and a world-class ecosystem of tools and workflows that differentiate Mayo's pathology services. You will champion Mayo's three shields of clinical practice, research, and education by:
  • Leading the creation and deployment of home-grown AI algorithms to enhance cancer diagnosis, precision medicine, prognostic modeling, and patient care priorities at MCA (e.g., cancer risk assessment, early detection, transplant pathology).
  • Developing AI-assisted tools and educational platforms for pathology trainees and faculty.
  • Driving multidisciplinary research collaborations within DLMP Arizona and across the Mayo enterprise, harnessing one of the world's largest digitized pathology repositories.

Join a growing, innovative team in Arizona dedicated to transforming pathology through AI, advancing capabilities equitably across Mayo sites, and delivering profound impact for patients, researchers, and educators.
Qualifications
  • PhD (required) or MD/PhD in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, or a related field, with demonstrated expertise in AI/machine learning applied to digital pathology or medical imaging. Exceptional MD candidates with requisite AI expertise and a strong translational research track record will also be considered.
  • Strong background in histopathology image analysis (computer vision), deep learning frameworks (e.g., PyTorch, TensorFlow), multimodal data integration (including tabular ML and NLP scenarios), and healthcare AI deployment/MLOps.
  • Proven track record of research productivity, including publications in computational pathology/AI, model development, and translational applications.
  • Experience in interdisciplinary collaboration, preferably in a clinical or academic medical setting.
  • Excellent communication skills for team leadership, education, and stakeholder engagement.

This position includes an academic appointment commensurate with experience in the Mayo Clinic College of Medicine and Science, generous protected time for research and innovation, and access to unparalleled resources. Mayo Clinic offers highly competitive compensation, comprehensive benefits, and opportunities for professional growth in a collaborative, mission-driven environment.
Apply today to shape AI-enabled pathology at Mayo Clinic Arizona!
Interested candidates should submit a CV, cover letter, and statement of research interests and vision.
About Us
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

About the Team
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

What Mayo Clinic employees say

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Get the full story on Breakroom


Mayo Clinic logo

About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919