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Mobile Machine Learning Jobs in Colorado (NOW HIRING)

... Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI ...

... Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI ...

Join Future Tech Jobs Community

Denver, CO · On-site

$61.75 - $80.25/hr

We enable our policyholders to report a claim with a mobile first experience, all while providing ... Machine Learning Engineer * Natural Language Processing Engineer * Database Engineer * Cloud ...

Join Future Tech Jobs Community

Denver, CO · On-site

$61.75 - $80.25/hr

We enable our policyholders to report a claim with a mobile first experience, all while providing ... Machine Learning Engineer * Natural Language Processing Engineer * Database Engineer * Cloud ...

Head of Digital Product Growth

Littleton, CO · On-site

$127.05K - $200K/yr

Advanced AI literacy with the ability to apply machine learning for predictive funnel analytics and ... Mobile industry knowledge encompassing IMEI checks, SIM provisioning, and porting processes Minimum ...

Advanced AI literacy with the ability to apply machine learning for predictive funnel analytics and ... Mobile industry knowledge encompassing IMEI checks, SIM provisioning, and porting processes Minimum ...

Lifecycle Marketing Lead

Littleton, CO · On-site

$72.35K - $103.40K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... Proficiency in AI application for CRM, specifically using machine learning outputs to refine ...

Lifecycle Marketing Lead

Littleton, CO · On-site

$72.35K - $103.40K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... Proficiency in AI application for CRM, specifically using machine learning outputs to refine ...

We power campaigns for Apps, Games and Brands across Mobile and CTV using advanced machine learning and optimized creative strategies to deliver results. Smadex is one ofthe fastest growing DSPs and ...

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... Demonstrating AI Literacy by integrating generative AI and machine learning scripts into daily ...

Senior Customer Lifecycle Analyst

Littleton, CO · On-site

$72.40K - $103.40K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... machine learning techniques Skills, Experience and Requirements Education and Experience:

Senior Product Manager - AI Products

Denver, CO · On-site

$96.25K - $137.50K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... Experience building machine learning and deep learning based software applications * Proven ability ...

Marketing Analyst

Littleton, CO · On-site

$63.15K - $90K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... Demonstrating AI Literacy by integrating generative AI and machine learning scripts into daily ...

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Mobile Machine Learning information

See Colorado salary details

$12

$26

$125

How much do mobile machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for mobile machine learning in Colorado is $26.63, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $21.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mobile Machine Learning Engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What are some common challenges faced by Mobile Machine Learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

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

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are the most commonly searched types of Machine Learning jobs in Colorado? The most popular types of Machine Learning jobs in Colorado are:
What are popular job titles related to Mobile Machine Learning jobs in Colorado? For Mobile Machine Learning jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Mobile Machine Learning jobs? Cities in Colorado with the most Mobile Machine Learning job openings:
Full Stack & AI Engineering Intern - Denver On-Site

Full Stack & AI Engineering Intern - Denver On-Site

Gesture US, Inc

Denver, CO • On-site

$800 - $1.60K/mo

Other

Posted 29 days ago


Job description

Fullstack AI Engineer Intern
Location: ONSITE / IN-OFFICE Denver
Internship Duration: 6 MONTHS
Department: AI Operations and Engineering
Type: Internship | Part-Time | Paid | $800-$1600 per month
Immediate Openings Only: Please note that this internship is for candidates who can interview and start right away. Gesture is NO LONGER accepting future-dated applications for Summer 2026. PLEASE DO NOT APPLY UNLESS you are available to begin interviewing asap, and if selected, you can start immediately
About Gesture
Gesture is where technology meets humanity - a place where innovation, emotion, and impact collide. We're a fast-growing tech company using AI, machine learning, and intelligent logistics to power a first-of-its-kind platform that connects people and brands through real-world, tangible experiences. From our mobile app to our B2B Reach360 platform, Gesture blends data, emotion, and automation to build the future of human connection - at scale.
Inside our Denver Office, you'll find an environment that moves with the pace and precision of Silicon Valley but with the heart of something far greater.
We run on cutting-edge tools, creative experimentation, and raw ambition. Every project, every campaign, every moment you work on here matters - because it's seen, felt, and experienced by real people around the world. At Gesture, you'll work alongside some of the smartest, most driven operators, engineers, and creatives in the industry - people who think big, move fast, and care deeply about the work they do.
This is a front-row seat to the future of connection. If you want to help build something that's changing how the world interacts, welcome to Gesture.
Where We're Headed
Gesture is investing aggressively in AI-driven intelligence to power the next generation of marketing and commerce using a gift-centric approach. Our roadmap focuses on:
Building intelligence that anticipates, adapts, and compounds-predicting intent, optimizing campaigns in real time, and delivering deeply personalized experiences driven by real-world behavior, all through systems that continuously learn and improve with every interaction.
This is not surface-level automation. We're building intelligence directly into the core of how campaigns are planned, executed, and measured-at scale.
At Gesture, you're not joining a static MarTech company. You're joining a team building the infrastructure for how brands will compete in a post-digital-fatigue world.
About the Role
Gesture is building the next evolution of emotionally intelligent consumer engagement. As an Engineering Intern, you will work alongside senior engineers and product leaders to develop AI-driven tools for our Operations (Marketing, Sales, Fulfillment) team to utilize to optimize and scale our model.
This role is hands-on. You will contribute production-level code to systems utilized internally to drive automation, keeping our team working on projects that truly move the needle while learning how engineering, product, and data come together inside a fast-growing technology company.
What You'll Do
AI Engineering and Personalization Development
• Support the design and implementation of data models, predictive pipelines, and recommendation logic for personalization across the internal Gesture ecosystem.
• Contribute to algorithms that translate user behavior into engagement cycles, rewards, and individualized experience pathways.
Loyalty and Engagement Infrastructure
• Assist in building backend components that power user incentives, behavioral triggers, and reward systems.
• Help develop logic that connects user signals (sending patterns, interaction frequency, referrals, etc.) to loyalty outcomes and campaign eligibility.
Full Stack Feature Development
• Collaborate with the mobile team (React Native) to integrate AI-driven recommendations, dynamic feeds, and adaptive notification patterns.
• Develop backend services that support A/B testing, targeted campaigns, personalized prompts, and customer journey flows.
Systems Integration and Data Flows
• Work on API integrations between Firebase, Zoho CRM, Segment, Voucherify, and internal data systems.
• Assist in ETL workflows, data ingestion, and ensuring data quality across the ecosystem.
Scalability, Performance, and Quality
• Participate in performance optimization, load testing, and architecture enhancements.
• Learn best practices for building systems designed to scale to millions of users.
Cross-Functional Collaboration
• Work with product, data science, marketing, and design teams to convert behavioral insights into consumer-facing features.
Technical Stack Exposure
Frontend
React, React Native, TypeScript and FERN stack
Backend
Python (FastAPI, Express)
Data & Storage
Firestore, PostgreSQL, BigQuery
Cloud & Infrastructure
Google Cloud Platform (Firebase, Cloud Functions, Pub/Sub, Cloud Run)
AWS (select services)
Docker, GitHub Actions, CI/CD pipelines
AI / Machine Learning
TensorFlow, PyTorch, scikit-learn
OpenAI and LangChain frameworks for LLM-driven personalization
CRM / Marketing Platforms
Twilio Segment, Zoho CRM, Voucherify, OneSignal
Preferred Core Skills and Competencies and Technical Skills
AI / Machine Learning
• Fundamental understanding of predictive modeling and recommender systems
• Familiarity with prompt engineering or LLM APIs
• Interest in behavioral scoring and personalization systems
Full Stack Engineering
• Experience with React or React Native
• Proficiency in backend development with Python
• Exposure to Firebase or GCP services is a strong plus
Data Architecture
• Understanding of API integrations, ETL, and third-party data flows
DevOps & Deployment
• Some experience with Docker, testing frameworks, and automated pipelines
• Interest in serverless infrastructure and continuous deployment
Security and Compliance
• Awareness of data handling best practices, including privacy and regulatory considerations
Behavioral Traits
• Customer-obsessed and motivated by improving user experience
• Strong ownership mentality with the ability to move ideas from concept to production
• Analytical and creative problem-solving ability
• Rapid learner with curiosity about new AI tools, frameworks, and SDKs
• Emotionally intelligent, understanding the human impact of technology
• Clear communicator who collaborates effectively across teams
Preferred Background
• Pursuing a degree in computer science, engineering, data science, or equivalent technical experience
• Prior work or project-based experience in full stack development, AI engineering, or mobile app development
• Exposure to personalization engines, loyalty systems, or recommendation algorithms is a plus
• Startup or fast-paced engineering environment experience is beneficial
What You'll Gain at Gesture
Meaningful, Shippable Work
Every intern contributes to features that go live in the product. No shadow projects.
Professional Development and Mentorship
• Direct mentorship from senior engineers
• Biweekly sessions with executives and division leads
• Structured growth guidance and portfolio development
Leadership and Strategy Exposure
• Invitations to the Founders' Roundtable where strategy, scaling, and fundraising are discussed
• Opportunities to observe how product and technical decisions are made at leadership level
AI Innovation Environment
• Access to Gesture's internal AI Playground for prototyping and experimentation
• Guided learning on how AI integrates with product, logistics, and consumer experience
Application Process - Interested candidates should submit the following
A resume outlining relevant experience.
A brief cover letter highlighting your key skills, achievements, and what excites you about this opportunity.
Any project work, portfolio samples, or coursework that demonstrate your passion and abilities.
Download The Gesture App
We strongly encourage all applicants to download the Gesture app and explore our platform firsthand. You can also visit gesture.vip to learn more about our mission, technology, and culture.
Culture
At Gesture, we operate with a KPI-driven, pacesetting culture - one that rewards sharp, motivated, high-performing individuals who take initiative and execute with excellence.
The ideal candidate will thrive in a startup environment, embodying curiosity, grit, and a builder's mindset. This is a ground-floor opportunity to grow alongside one of the most exciting and innovative companies redefining connection through technology.
Apply today to join Gesture and be part of the team that's redefining how the world connects.
Join the Movement ! If you're ready to lead by doing, grow fast, and make an impact that matters - we want to hear from you.