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Scientific Machine Learning Jobs in Phoenix, AZ (NOW HIRING)

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr (+ commission)

... LLMs), Machine Learning, and Generative AI * Build intelligent agents, RAG solutions, prompt ... Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, or related field * 2 ...

Shamrock Foods Company

Data Science Analyst

Phoenix, AZ · On-site

$95 - $135/hr

The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations.

Insight Enterprises

Principal Data Scientist

Phoenix, AZ · On-site

$150 - $210/hr

We are seeking a Principal Data Scientist with deep clinical or healthcare and life sciences ... Design machine learning workflows using Azure Machine Learning, including experimentation, model ...

Deloitte

Senior AI Engineer - SFL Scientific

Tempe, AZ

$100K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex ... Requirements: * Bachelor's degree required in Mathematics, Data Science, Computer Science ...

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Scientific Machine Learning information

See Phoenix, AZ salary details

$13

$31

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How much do scientific machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for scientific machine learning in Phoenix, AZ is $31.25, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $39.86 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

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

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Phoenix, AZ?

For Scientific Machine Learning jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Scientific Machine Learning jobs in Phoenix, AZ look for?

The top searched job categories for Scientific Machine Learning jobs in Phoenix, AZ are:

Scientific Machine Learning jobs near you

AI & Machine Learning Engineer

MY DR NOW

Chandler, AZ • On-site

$100K - $110K/yr (+ commission)

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Key responsibilities

  • Design, develop, and deploy AI-powered healthcare applications using Large Language Models, Machine Learning, and Generative AI

  • Build intelligent agents, RAG solutions, prompt workflows, and AI-driven automation

  • Collaborate with technology, operations, and clinical teams to rapidly deliver AI solutions

MY DR NOW rating

7.1

Company rating: 7.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

MY DR NOW was built on a simple belief: healthcare should be ridiculously easy.

Making that happen at scale requires more than great providers - it requires world-class technology, intelligent systems, and the discipline to constantly improve how care is delivered.

AI is not an experiment here. We are using it today to remove friction, eliminate waste, improve patient access, support our teams, and build the infrastructure required to deliver healthcare differently.

We are looking for an AI/ML Engineer II who wants to build - someone who sees problems as opportunities, moves quickly from idea to execution, and wants their work to create real impact in the lives of patients and the people caring for them.

What You’ll Do

• Design, develop, and deploy AI-powered healthcare applications using Large Language Models (LLMs), Machine Learning, and Generative AI
• Build intelligent agents, RAG solutions, prompt workflows, and AI-driven automation
• Develop scalable Python applications, backend services, and enterprise integrations
• Optimize AI/ML models for real-world healthcare operations and patient care
• Write advanced SQL queries to transform healthcare data into actionable intelligence
• Collaborate with technology, operations, and clinical teams to rapidly deliver AI solutions
• Leverage tools like Claude Code, GitHub Copilot, Cursor, and emerging AI platforms to accelerate development
• Ensure solutions meet standards for security, scalability, performance, and HIPAA compliance
• Participate in Agile development, testing, code reviews, and CI/CD practices

What You Bring

• Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, or related field
• 2–3 years of experience building AI/ML or intelligent software applications
• Experience with healthcare technology, data, or workflows
• Strong Python and SQL skills
• Experience developing APIs and integrating enterprise applications
• Knowledge of Machine Learning and Generative AI frameworks
• Strong engineering fundamentals and problem-solving skills
• A builder mindset — curious, resourceful, fast-moving, and focused on outcomes

Preferred Experience

• Azure OpenAI, OpenAI APIs, Azure AI Services
• LangChain, LangGraph, Semantic Kernel, CrewAI
• AI Agents, MCP, Prompt Engineering, Function Calling
• RAG solutions and Vector Databases
• Microsoft Fabric, Azure Data Factory, Azure SQL
• TensorFlow, PyTorch, Scikit-learn, MLflow
• Epic Clarity, Epic Caboodle, FHIR, HL7
• Claude Code, GitHub Copilot, Cursor
• Git, Azure DevOps, CI/CD, Docker, Kubernetes

Company Description

MY DR NOW, the largest privately-held, privately-owned Primary Care Provider in Arizona. We offer a 100% company-paid health insurance, 100% paid licensure & DEA, matching 401k, paid vacation & sick time, PLUS dental, vision, life insurance, and bonuses! At MY DR NOW, we provide the opportunity to grow with us and change the way healthcare is delivered.

What MY DR NOW employees say

Pay

Hours and flexibility

Workplace

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