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Senior Full Stack Machine Learning Engineer Jobs in Mesa, AZ

IntraEdge

Full Stack Engineer

Phoenix, AZ · On-site

Hands-on experience with Vert.x or similar reactive programming frameworks * Strong understanding of full stack development (backend + UI) * Experience with frontend technologies ( React, Angular, or ...

IntraEdge

Full Stack Engineer

Phoenix, AZ · On-site

Hands-on experience with Vert.x or similar reactive programming frameworks * Strong understanding of full stack development (backend + UI) * Experience with frontend technologies (React, Angular, or ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr

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 ...

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All JobsFull Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer JobsSenior Full Stack Machine Learning Engineer Jobs in Mesa, AZ

Senior Full Stack Machine Learning Engineer information

See Mesa, AZ salary details

$44.1K

$133.7K

$189K

How much do senior full stack machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior full stack machine learning engineer in Mesa, AZ is $133,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $156,800.00 per year, depending on experience, location, and employer.

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Mesa, AZ?

The most popular types of Full Stack Machine Learning Engineer jobs in Mesa, AZ are:

Senior Full Stack Machine Learning Engineer jobs near you

Senior Full Stack Software Engineer (React / React Native / Node / AWS)

Clever Benefits

Phoenix, AZ • On-site

Full-time

Re-posted 17 days ago

Job description

About the Role

Clever Benefits is looking for a Senior Software Engineer with strong TypeScript experience to help build and scale our platform. This role is hands-on across our React web app, React Native mobile app, backend services, and AWS infrastructure. You’ll work closely with our small engineering team to design, implement, and maintain production-ready full stack features end to end.

Requirements

  • 8+ years of professional software engineering experience
  • Strong expertise with TypeScript
  • Production experience with React, React Native, and Node.js
  • Solid background in AWS services (Lambda, ECS/Fargate, S3, RDS, etc.)
  • Experience with Prisma, PostgreSQL, and tRPC
  • Comfortable working full stack and owning features from design → deployment
  • Ability to work in a hybrid environment, onsite 2 days/week in North Scottsdale
  • Must reside within 30 miles of North Scottsdale
  • Interest in using AI to accelerate development (code generation, automation, etc.) — but focused on maintainable, high-quality engineering, not “vibe coding”
Nice to Have
  • Experience with mobile app distribution workflows (TestFlight / Play Store)
  • Familiarity with monorepos, pnpm/bun workspaces, or similar setups
  • Knowledge of infrastructure-as-code (CDK, Terraform, etc.)