The Full Stack Engineer (AI Platform & Product) will: * Serve as the primary technical owner across ... Experience with machine learning infrastructure, recommendation systems, moderation tooling, or ...
The Full Stack Engineer (AI Platform & Product) will: * Serve as the primary technical owner across ... Experience with machine learning infrastructure, recommendation systems, moderation tooling, or ...
Machine Learning Engineer
Phoenix, AZ ยท On-site
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 ...
Machine Learning Engineer
Phoenix, AZ ยท On-site
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 ...
We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...
We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...
Full Stack AI Engineer, Security
Scottsdale, AZ ยท Remote
$130K - $170K/yr
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 ...
Quick apply
Full Stack AI Engineer, Security
Scottsdale, AZ ยท Remote
$130K - $170K/yr
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 ...
Senior Machine Learning Engineer
Goodyear, AZ ยท On-site
$110K/yr
Our work spans the full system lifecycle-from R&D to operational deployment-supporting the ... PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power ...
Senior Machine Learning Engineer
Goodyear, AZ ยท On-site
$110K/yr
Our work spans the full system lifecycle-from R&D to operational deployment-supporting the ... PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power ...
Senior Machine Learning Engineer
Goodyear, AZ ยท On-site
$110K - $180K/yr
Our work spans the full system lifecycle--from R&D to operational deployment--supporting the ... PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power ...
Quick apply
Senior Machine Learning Engineer
Goodyear, AZ ยท On-site
$110K - $180K/yr
Our work spans the full system lifecycle--from R&D to operational deployment--supporting the ... PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power ...
Senior Machine Learning Engineer
$110K - $180K/yr
Our work spans the full system lifecycle-from R&D to operational deployment-supporting the ... PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power ...
Senior Machine Learning Engineer
$110K - $180K/yr
Our work spans the full system lifecycle-from R&D to operational deployment-supporting the ... PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power ...
Machine Learning Engineer
Flagstaff, AZ ยท On-site
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 ...
Machine Learning Engineer
Flagstaff, AZ ยท On-site
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 ...
Machine Learning Engineer
Tucson, AZ ยท On-site
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 ...
Machine Learning Engineer
Tucson, AZ ยท On-site
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 ...
Machine Learning Engineer
Chandler, AZ ยท On-site
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 ...
Machine Learning Engineer
Chandler, AZ ยท On-site
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 ...
Machine Learning Engineer
Mesa, AZ ยท On-site
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 ...
Machine Learning Engineer
Mesa, AZ ยท On-site
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 ...
Machine Learning Engineer
Phoenix, AZ ยท On-site
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 ...
Machine Learning Engineer
Phoenix, AZ ยท On-site
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 ...
Machine Learning Engineer
Scottsdale, AZ ยท On-site
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 ...
Machine Learning Engineer
Scottsdale, AZ ยท On-site
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 ...
Machine Learning Engineer
Glendale, AZ ยท On-site
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 ...
Machine Learning Engineer
Glendale, AZ ยท On-site
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 ...
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 ...
Full Stack Developer
$120K - $140K/yr
This position is ideal for an engineer with an AI native mindset who enjoys tackling complex ... learning in cloud native and AI native software development Nice to Have: Experience with CI/CD ...
New
Full Stack Developer
$120K - $140K/yr
This position is ideal for an engineer with an AI native mindset who enjoys tackling complex ... learning in cloud native and AI native software development Nice to Have: Experience with CI/CD ...
New
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 ...
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 ...
Executive Full Stack Machine Learning Engineer information
Will AI replace full-stack dev?
What engineer makes $500,000 a year?
Will MLE be replaced by AI?
What is the salary of full-stack machine learning engineer?
What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?
| Aspect | Executive Full Stack Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack development | Bachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills |
| Work Environment | Develops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teams | Analyzes data, builds models, visualizes insights, often in research or analytics teams |
| Industry Usage | Used in tech companies, startups, and enterprises deploying ML products | Common 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.
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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.
- 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.
About Riot Hospitality Group
Sourced by ZipRecruiter
Industry
Traveler accommodation
Company size
501 - 1,000 Employees
Headquarters location
Scottsdale, AZ, US
Year founded
2010