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Internship Machine Learning Startup Jobs in Arizona

Motion Recruitment

Senior Python Engineer / Phoenix

Phoenix, AZ · On-site

$120K - $162K/yr

... machine?learning-driven automation--software that directly cuts costs and improves efficiency in ... They're hiring mid- to senior-level engineers who thrive in startup environments, love building ...

Motion Recruitment

Senior Python Engineer / Phoenix

Phoenix, AZ · On-site

$120K - $162K/yr

... machine?learning-driven automation--software that directly cuts costs and improves efficiency in ... They're hiring mid- to senior-level engineers who thrive in startup environments, love building ...

onsemi

Fall 2026 - AI & Data Analytics Intern

Scottsdale, AZ

$15 - $20.25/hr

Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies ... Demonstrated coursework, project experience, or practical interest in AI, machine learning, natural ...

New

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

... interns; foster a culture of scientific rigor and rapid experimentation. - Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications: - Masters/PhD in ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

... interns; foster a culture of scientific rigor and rapid experimentation. - Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications: - Masters/PhD in ...

Tenex.AI Inc

Threat Hunter

Scottsdale, AZ · On-site

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Apply machine learning algorithms to identify emerging threats and trends, providing actionable ...

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ · On-site

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Intel

Yield Platform Analyst

Phoenix, AZ · On-site

... internship experiences and or schoolwork/classes/research. Minimum Qualifications Must possess a ... Data systems and analytics, Python, machine learning techniques, yield improvement methodologies.

New

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

... predictive and machine learning models. The Data Scientist III communicates technical and ... Startup mindset * Proficiency with Excel and PowerBI * Experience with commercial analytics ...

New

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All JobsMachine Learning Startup JobsInternship Machine Learning Startup JobsInternship Machine Learning Startup Jobs in Arizona

Internship Machine Learning Startup information

What is the difference between Internship Machine Learning Startup vs Data Science Intern?

AspectInternship Machine Learning StartupData Science Intern
Required CredentialsBasic programming, statistics, coursework in MLSimilar; often includes coursework in data analysis and statistics
Work EnvironmentFast-paced startup, collaborative teamsVaries; startups or corporate settings, collaborative
Industry UsageCommon in tech startups focusing on AI/ML productsWidespread across tech, finance, healthcare
Search & Comparison IntentInterested in ML-specific roles in startupsLooking for data analysis or data science internships

Internship Machine Learning Startup roles focus on applying ML techniques in startup environments, often requiring programming and statistical skills. Data Science Internships may encompass broader data analysis tasks across various industries. Both roles share similar credentials and work environments, but ML internships are more specialized in machine learning applications within startups.

What are the most commonly searched types of Machine Learning Startup jobs in Arizona? The most popular types of Machine Learning Startup jobs in Arizona are:
What are popular job titles related to Internship Machine Learning Startup jobs in Arizona? For Internship Machine Learning Startup jobs in Arizona, the most frequently searched job titles are:
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What cities in Arizona are hiring for Internship Machine Learning Startup jobs? Cities in Arizona with the most Internship Machine Learning Startup job openings:
Internship Machine Learning Startup jobs near you
Full Stack Engineer (AI Platform & Product)

Full Stack Engineer (AI Platform & Product)

Riot Hospitality Group

Scottsdale, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 16 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.

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