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Phd Machine Learning Jobs in Arizona (NOW HIRING)

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services ... Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services ... Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ · On-site

$158K - $269K/yr

Qualifications: - MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study. - Experience working on ...

Intel

$170K/yr

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... PhD Candidate from an accredited engineering or computer science program with emphasis on ...

New

Intel

AI Software Engineering PhD Intern

Phoenix, AZ · On-site

$170K/yr

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... PhD Candidate from an accredited engineering or computer science program with emphasis on ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ

$158K - $269K/yr

Qualifications: - MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study. - Experience working on ...

Intel

AI Software Engineering PhD Intern

Phoenix, AZ

$82.02/hr

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... PhD Candidate from an accredited engineering or computer science program with emphasis on ...

Intel

AI Software Engineering PhD Intern

Phoenix, AZ · On-site

$170K/yr

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... PhD Candidate from an accredited engineering or computer science program with emphasis on ...

USAA

Director, Data Scientist

Phoenix, AZ · On-site +1

OR 4 years of relevant education and/or experience. * 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in ...

USAA Careers

Director, Data Scientist

Phoenix, AZ · On-site +1

OR 4 years of relevant education and/or experience. * 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in ...

USAA

Director, Data Scientist

Phoenix, AZ · On-site +1

OR 4 years of relevant education and/or experience. * 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in ...

USAA

Director, Data Scientist

Phoenix, AZ · On-site +1

OR 4 years of relevant education and/or experience. * 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in ...

USAA Careers

Director, Data Scientist

Phoenix, AZ · On-site

OR 4 years of relevant education and/or experience. * 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in ...

Caris Life Sciences

Manager - Data Science

Tempe, AZ · On-site

... machine learning for use within assigned projects. * Improve team-level delivery practices to increase quality, throughput, predictability, and partner trust. Required Qualifications * PhD in data ...

Caris Life Sciences

Manager - Data Science

Tempe, AZ · On-site

... machine learning for use within assigned projects. * Improve team-level delivery practices to increase quality, throughput, predictability, and partner trust. Required Qualifications * PhD in data ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered. * Experience in ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered. * Experience in ...

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All JobsPhd Machine Learning JobsPhd Machine Learning Jobs in Arizona

Phd Machine Learning information

See Arizona salary details

$12

$21

$28

How much do phd machine learning jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for phd machine learning in Arizona is $21.27, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $23.75 per hour, depending on experience, location, and employer.

What is a PhD in machine learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level machine learning professional?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

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

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

How much does a PhD in machine learning make?

A PhD in machine learning typically earns between $100,000 and $150,000 annually in industry roles, with salaries increasing for senior positions or in high-demand sectors. Academic positions may offer lower salaries but include research funding and teaching responsibilities.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, data scientist, or AI specialist. These roles involve developing algorithms, analyzing large datasets, and applying AI techniques across industries like technology, healthcare, finance, and autonomous systems. Strong programming skills and knowledge of tools like Python, TensorFlow, or PyTorch are essential for these positions.

What cities in Arizona are hiring for Phd Machine Learning jobs?

Cities in Arizona with the most Phd Machine Learning job openings:

Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $44,235 per year, or $21.3 per hour.

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ • On-site

IntraEdge
IT Services • 1 - 5K employees
Learn more about IntraEdgeexternal

$105K - $145K/yr

Full-time

Re-posted 27 days ago

Job description

Senior AI/ML & IVR Engineer GCP 20671 Scottsdale, 9/23/2025 9:31:00 PM
Data Science
FTE - IntraEdge
Job Description
Position Overview:
As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will wor k closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems.
K ey Responsibilities:
  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.)
  • Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management
  • Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCP
  • Lead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics
  • Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences
  • Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features
  • Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards

Must-Have S k ills:
  • Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, K ubeflow, Dataflow, Cloud Functions)
  • Strong coding s k ills in Python and/or Java, with experience in ML framewor k s (TensorFlow, PyTorch, sci k it-learn)
  • Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact Center AI, Twilio, etc.)
  • Advanced MLOps: CI/CD, containerization (Doc k er), orchestration ( K ubernetes), monitoring, and automation
  • Data engineering s k ills: ETL/ELT, real-time and batch pipelines
  • Excellent communication, collaboration, and technical leadership abilities
  • Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field
  • 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications

Desirable:
  • GCP Professional Certifications (Data Engineer, ML Engineer)
  • Experience with call center, telecom, or enterprise voice automation
  • K nowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:
  • Reliable, high-performance deployment of AI/ML and IVR solutions on GCP
  • Measurable improvements in automation, customer experience, and efficiency
  • Effective collaboration with business, engineering, and product teams

Job Requirements
Position Overview:
As a Senior AI/ML, IVR, and GCP Engineer, you will architect, develop, and optimize advanced AI/ML solutions and voice automation (IVR) platforms using Google Cloud Platform. You will wor k closely with data scientists, engineers, and product teams to drive innovation and build scalable machine learning and conversational AI systems.
K ey Responsibilities:
  • Design, build, and deploy machine learning pipelines and end-to-end AI solutions using GCP services (BigQuery, Vertex AI, Dataflow, Pub/Sub, etc.)
  • Architect and optimize IVR/Conversational AI systems integrating speech recognition, NLP, and dialog management
  • Implement robust MLOps for model monitoring, versioning, CI/CD, retraining, and performance optimization on GCP
  • Lead technical projects, mentor team members, and ensure best practices in code quality, security, and AI ethics
  • Collaborate with cross-functional teams to integrate AI/ML and IVR capabilities with business applications and customer experiences
  • Develop APIs and cloud-native interfaces for scalable, secure, low-latency access to AI features
  • Ensure compliance and data governance for voice and customer data according to privacy and regulatory standards

Must-Have S k ills:
  • Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, K ubeflow, Dataflow, Cloud Functions)
  • Strong coding s k ills in Python and/or Java, with experience in ML framewor k s (TensorFlow, PyTorch, sci k it-learn)
  • Experience building and scaling IVR/Conversational AI systems (Dialogflow, Contact Center AI, Twilio, etc.)
  • Advanced MLOps: CI/CD, containerization (Doc k er), orchestration ( K ubernetes), monitoring, and automation
  • Data engineering s k ills: ETL/ELT, real-time and batch pipelines
  • Excellent communication, collaboration, and technical leadership abilities
  • Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field
  • 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational applications

Desirable:
  • GCP Professional Certifications (Data Engineer, ML Engineer)
  • Experience with call center, telecom, or enterprise voice automation
  • K nowledge of infrastructure-as-code (Terraform, Cloud Deployment Manager)

Success in This Role:
  • Reliable, high-performance deployment of AI/ML and IVR solutions on GCP
  • Measurable improvements in automation, customer experience, and efficiency
  • Effective collaboration with business, engineering, and product teams
IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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