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Executive Full Stack Machine Learning Engineer Jobs in Arizona

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... Hands-on experience implementing and scaling the full **post-training pipeline** for language ...

You sit where machine learning meets cybersecurity, building models that catch fraud, abuse ... full-stack-ai-engineer- security?utm_source=dstribute & utm_medium=job+boards & utm_campaign ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Sr. Machine Learning Engineer

Phoenix, AZ ยท On-site

$103K - $142K/yr

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... Hands-on experience implementing and scaling the full **post-training pipeline** for language ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Executive Full Stack Machine Learning Engineer information

Will AI replace full-stack dev?

As an Executive Full Stack Machine Learning Engineer, it is unlikely that AI will fully replace full-stack developers, as their roles require complex problem-solving, creativity, and understanding of business needs that AI cannot replicate. AI tools can automate certain coding tasks and improve efficiency, but human oversight and expertise remain essential for designing, integrating, and maintaining full-stack applications. The evolving landscape emphasizes collaboration between AI and developers rather than replacement.

What engineer makes $500,000 a year?

An executive full stack machine learning engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI and software development, and working at large tech companies or startups with competitive compensation packages. High salaries often include base pay, bonuses, and stock options, reflecting seniority and expertise in the field.

Will MLE be replaced by AI?

An Executive Full Stack Machine Learning Engineer designs and implements AI systems, but AI is a tool that complements rather than replaces such roles. While automation and AI advancements can handle certain tasks, skilled engineers are needed for developing, maintaining, and improving complex machine learning solutions. Continuous learning and expertise in programming, data analysis, and model deployment remain essential in this field.

What is the salary of full-stack machine learning engineer?

The salary of a full-stack machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills in deep learning or cloud platforms may offer higher compensation.

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

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Arizona? The most popular types of Full Stack Machine Learning Engineer jobs in Arizona are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Arizona look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Arizona are:
What cities in Arizona are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in Arizona with the most Executive Full Stack Machine Learning Engineer job openings:
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Arizona as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Full Stack Engineer (AI Platform & Product)

Full Stack Engineer (AI Platform & Product)

Riot Hospitality Group

Scottsdale, AZ โ€ข On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 26 days ago


Job description

Riot Hospitality Group is seeking a talented Full Stack Engineer (AI Platform & Product) to join our team! As a hospitality company focused on leveraging AI and emerging technology, we're shaping the future of guest experience, operations, and consumer engagement. This is the first engineering role of its kind within our organization - a unique opportunity to help build and scale new products, platforms, and internal systems from the ground up. We're looking for a highly adaptable individual who thrives in fast-paced environments, enjoys end-to-end ownership across the stack, and is excited to help establish the technical foundation of an innovation-driven business.

The Full Stack Engineer (AI Platform & Product) will:

  • Serve as the primary technical owner across the company's AI platform, infrastructure, web, and mobile applications in a highly autonomous environment.
  • Build, launch, and maintain production-ready applications and features across web, iOS, and Android platforms.
  • Manage and optimize AI/LLM systems, including performance, scalability, reliability, and cost efficiency across production environments.
  • Build and support real-time platform features including live video, streaming, chat, and interactive user experiences.
  • Own AWS cloud infrastructure, deployments, CI/CD pipelines, and production operations across multiple services and environments.
  • Build and maintain scalable backend services, APIs, data pipelines, and cloud-based machine learning infrastructure.
  • Support AI-powered recommendation, moderation, and automation initiatives through scalable cloud and machine learning solutions.
  • Collaborate with operational and business stakeholders to identify opportunities where AI and technology can improve efficiency, scalability, workflows, and guest experience.
  • Partner with leadership to help evaluate operational challenges, prioritize technical initiatives, and shape long-term product and platform strategy.
  • Monitor system health, troubleshoot production issues, and improve observability, alerting, and operational reliability.
  • Operate with end-to-end ownership across architecture, development, deployment, support, and scaling of systems and applications.
  • Establish engineering standards, tooling, infrastructure, and technical best practices as the organization builds its internal technology function.
  • Leverage modern AI tooling, managed services, and pragmatic engineering solutions to efficiently build and scale systems.
  • Other duties as assigned.

Requirements

  • Bachelor's degree in Computer Science, Business Analytics, or similar field (or equivalent experience).
  • 5+ years of experience building, launching, and maintaining production software products end-to-end.
  • Strong full-stack engineering experience across web (React/Next.js) and mobile (React Native/Expo) applications.
  • Proven experience shipping live applications to the App Store and Google Play Store.
  • Experience working with AI/LLM platforms such as Claude, Anthropic, Bedrock, or similar tools in production environments.
  • Strong understanding of cloud infrastructure and deployments within AWS environments.
  • Experience with CI/CD pipelines, infrastructure automation, and production monitoring tools.
  • Comfortable working across multiple languages and systems, including TypeScript, Go, and Python.
  • Experience supporting real-time products and features, including live video, streaming, chat, or real-time communication systems.
  • Ability to troubleshoot, optimize, and support systems in live production environments.
  • Comfortable owning products and infrastructure with a high level of autonomy in a fast-moving startup environment.
  • Strong problem-solving, communication, and decision-making skills.
  • Ability to balance speed, scalability, reliability, and cost when building products.
  • Excellent communication skills, both written and verbal.
  • Strong attention to detail, with the ability to multitask.
  • Ability to work independently as well as collaboratively within a team.
Preferred Requirements
  • Previous startup, early-stage, or founding engineering experience.
  • Experience building or supporting live video and real-time streaming products, including mobile broadcasting and low-latency streaming.
  • Familiarity with creator-platform features such as subscriptions, in-app purchases, and App Store / Google Play compliance requirements.
  • Experience working with AI infrastructure tools such as LLM gateways, prompt caching, model evaluation, or observability platforms.
  • Exposure to retrieval systems (RAG), vector search, or AI agent/tool orchestration workflows.
  • Experience with machine learning infrastructure, recommendation systems, moderation tooling, or MLOps workflows.
  • Familiarity with high-scale real-time systems, messaging, or event-driven architectures.
  • Experience with cloud edge/CDN platforms and performance optimization tools.
  • Understanding of security, authentication, geo-compliance, or identity/access management best practices.
  • Experience working within monorepos or multi-service engineering environments.

Benefits

  • Fun work environment in a sweet location with an amazing and collaborative team!
  • Flexible work schedule to include work-from-home and in-office days
  • Access to medical, dental, vision, life insurance, short-term & long-term disability, voluntary benefits, and employee assistance program, and pet insurance
  • Paid time off including vacation, sick leave, and company holidays
  • Employee discounts at our many venues
  • Exclusive access to events, shows, and other happenings

About Riot Hospitality Group

Headquartered in Scottsdale, Arizona, Riot Hospitality Group is a premier, national hospitality management company dedicated to evolving the typical restaurant landscape into one that provides unique and meaningful experiences for each and every guest.

Here at RHG, we are passionately focused on transforming restaurant and nightlife hospitality. We have transformed the industry's landscape through pushing the envelope of the typical hospitality experience, while maintaining exceptional customer service. The brands under management include Dierks Bentley's Whiskey Row, El Hefe, Farm & Craft, Hand Cut, Riot House, CAKE, Cottontail Lounge / Living Room / WET Deck, Maya Day+Night, Shiv Steakhouse, Kauboi, Allegra, and F/Sixteen.

Our mission is simple: To make every single hospitality experience better than the last. We pride ourselves on doing this through leading by example, and our passion for excellence is derived from a lifetime dedication to learning and a commitment to true hospitality.