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Associate Machine Learning Jobs in Tempe, AZ (NOW HIRING)

Data Scientist II

Phoenix, AZ · On-site

$120 - $160/hr

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 ...

... and machine learning initiatives by preparing, validating, and governing datasets used for model development and deployment. • Gain hands-on experience with AI technologies, including Large ...

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 ...

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

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 ...

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 ...

Showing results 21-40

Associate Machine Learning information

See Tempe, AZ salary details

$30.2K

$127.4K

$301.2K

How much do associate machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for associate machine learning in Tempe, AZ is $127,443.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,100.00 and $193,500.00 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 Tempe, AZ? The most popular types of Machine Learning jobs in Tempe, AZ are:
What job categories do people searching Associate Machine Learning jobs in Tempe, AZ look for? The top searched job categories for Associate Machine Learning jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Associate Machine Learning jobs? Cities near Tempe, AZ with the most Associate Machine Learning job openings:

Faculty Position in Radiology and AI Innovation Research

Nature Careers

Scottsdale, AZ • On-site

Other

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

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.
Position Overview
The Department of Radiology and the Arizona Advanced AI & Innovation (A3I) Hub at Mayo Clinic Arizona seek an exceptional early-career scientist for an Associate Career Scientist faculty position. This is a research-intensive appointment designed for individuals with outstanding potential to develop an independent, externally funded research program at the intersection of artificial intelligence, medical imaging, multimodal data science, and clinical translation.
The successful candidate will hold a joint appointment with approximately 50% effort in the Department of Radiology and 50% effort in the A3I Hub. The position offers access to Mayo Clinic's extensive clinical, imaging, genomic, and multimodal datasets, as well as a collaborative environment that integrates physicians, data scientists, engineers, and translational researchers.
Research Focus Areas
Applicants with expertise in one or more of the following areas are encouraged to apply:
* Medical imaging AI and computer vision
* Multimodal foundation models and large language models
* Generative AI and agentic AI systems for healthcare
* Clinical decision support and predictive analytics
* Radiology AI and imaging informatics
* Multimodal data integration (imaging, EHR, pathology, genomics, biosignals)
* Trustworthy, fair, and explainable AI
* Digital twins and precision medicine
* AI-enabled clinical workflow optimization
Qualifications
Required Qualifications
* PhD, MD/PhD, or equivalent doctoral degree in Computer Science, Artificial Intelligence, Biomedical Informatics, Electrical Engineering, Data Science, Computational Biology, Medical Physics, or a related discipline.
* Minimum of three years of postdoctoral research experience or equivalent research training.
* Demonstrated record of scholarly achievement and scientific innovation.
* Strong publication record in leading journals and conferences relevant to AI, machine learning, biomedical informatics, or medical imaging.
* Evidence of the ability to establish an independent research program and compete successfully for extramural funding.
Preferred Qualifications
* Experience developing and validating AI models using large-scale healthcare data.
* Experience with foundation models, multimodal learning, reinforcement learning, or agentic AI frameworks.
* Track record of interdisciplinary collaboration with clinicians and healthcare researchers.
* Prior success in grant writing, fellowship awards, career development awards, or other competitive funding mechanisms.
Responsibilities
The successful candidate will:
* Develop and lead an innovative independent research program aligned with Mayo Clinic's strategic priorities in AI and healthcare.
* Conduct cutting-edge research in artificial intelligence, machine learning, and multimodal biomedical data science.
* Collaborate with investigators across Radiology, Artificial Intelligence and Informatics, Oncology, Cardiology, Neurology, and other clinical departments.
* Publish impactful scientific findings in high-quality peer-reviewed journals and premier conferences.
* Pursue extramural funding from NIH, NSF, ARPA-H, DOD, foundations, and industry partnerships.
* Mentor trainees, including postdoctoral fellows, graduate students, residents, and medical students.
* Contribute to the development of next-generation AI platforms and translational solutions that improve patient care.
Appointment Expectations
Consistent with Mayo Clinic criteria for Associate Career Scientist:
* Research effort of 80% or greater.
* Demonstrated trajectory toward research independence.
* Minimum publication expectations:
* At least three peer-reviewed publications, including one first- or senior-author publication.
* Expected progression toward securing independent extramural funding within the initial appointment period.
* Eligibility for appointment at the Assistant Professor rank.
Environment and Resources
The candidate will benefit from:
* Access to Mayo Clinic's enterprise-wide multimodal data ecosystem, including imaging, clinical, pathology, genomic, and wearable data resources.
* State-of-the-art AI computing infrastructure with large-scale GPU clusters.
* Opportunities to collaborate with investigators across Mayo Clinic Arizona, Rochester, and Florida campuses.
* Integration with the Arizona Advanced AI & Innovation Hub, a rapidly growing center focused on developing and translating trustworthy AI technologies for healthcare.
* Strong institutional support for career development, mentorship, and extramural funding success.
Application Materials
Applicants should submit:
* Curriculum vitae
* Research statement (2-3 pages)
* Future funding strategy
* Three representative publications
* Names and contact information for three references
Mayo Clinic is committed to fostering an environment of scientific excellence, innovation, and collaboration. We seek candidates who are passionate about advancing AI-driven healthcare and translating scientific discoveries into clinical impact.