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Mobile Machine Learning Jobs in Colorado (NOW HIRING)

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... By leveraging cutting-edge AI and machine learning capabilities, the role architects automated ...

Senior AI DevOps Engineer

Littleton, CO · On-site

$96K - $137K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... Bridge the gap between experimental machine learning and production-grade software by engineering ...

Join a visionary team at Trimble where your expertise in geospatial technology and machine learning ... including mobile mapping, drones, and terrestrial scanners * Proven experience guiding the ...

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

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

Lifecycle Marketing Lead

Littleton, CO · On-site

$72K - $103K/yr

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

Lifecycle Marketing Lead

Littleton, CO · On-site

$72K - $103K/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 ... AI literacy and the ability to apply automated tools or machine learning prompts to streamline ...

Marketing Analyst

Littleton, CO · On-site

$63K - $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 Jul 10, 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized knowledge, and may be found in large tech companies or research institutions.

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.

Will MLE be replaced by AI?

Mobile Machine Learning Engineers (MLEs) develop and optimize machine learning models for mobile devices. While AI technologies continue to advance, MLEs focus on implementing efficient, lightweight models suitable for mobile hardware, and their role is expected to evolve rather than be fully replaced by AI itself. Skills in model optimization, deployment, and understanding mobile constraints remain essential for MLEs.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working on mobile applications, can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and AI, and roles in high-paying industries or companies. Achieving this level often requires advanced degrees, specialized expertise, and leadership responsibilities.

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.

Which 3 jobs will survive AI?

Mobile Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with AI tools and frameworks are essential for long-term job security in this field.

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 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:
Adjunct Faculty, Department of Computer Information Systems - Open Pool

Adjunct Faculty, Department of Computer Information Systems - Open Pool

Colorado State University

Fort Collins, CO

$7.0K - $7.5K/mo

Part-time

Posted 26 days ago


Colorado State University rating

6.7

Company rating: 6.7 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

427th of 546 rated colleges and universities


Job description

Job Description

Position Summary

The Department of Computer Information Systems in the College of Business may hire temporary faculty from an applicant pool from time to time. The teaching load and course assignments are determined by the Department Chair.

Instructors may be hired for fall, spring and/or summer term in a given academic year. Applications will be accepted throughout the calendar year. Hiring decisions are normally made during the late spring and throughout the summer for fall semester, during fall semester for spring semester, and during spring semester for the summer term.

Learn more about the Department of Computer Information Systems: https://biz.colostate.edu/student-experience/departments/department-of-computer-information-systems.

Salary Range: Per course basis; default starting pay is $7,000 - $7,500/class; in select instances, pay may be higher commensurate with experience/course complexity.

Essential Job Duties

  • Instructional Course Design and Administration

    • Construct course syllabus adhering to College of Business assurance of learning outcomes and departmental standards.

    • Administer course through Colorado State University's learning management system.

  • Instructional Course Delivery

    • Deliver instructional course material via multi-media teaching techniques in relevant subject areas in prescribed delivery format.

  • Other duties as assigned

Supervision

  • N/A

Conditions of Employment

  • Pre-employment Criminal Background Check (required for new hires).

  • The successful candidate must be legally authorized to work in the United States by the proposed start date; the Department of Computer Information Systems will not sponsor a visa for this position now nor in the future.

Minimum Qualifications

  • Applicable Master's, J.D., or Ph.D. that is aligned with one or more of the following subject areas: AI, machine learning, analytics, cloud computing, computer programming, cybersecurity, data management,ERP, networking, project management, information systems, systems analysis and design, and web/mobile applications development.

  • Or current doctoral candidate in a field of study that is aligned with one or more of the above-mentioned subject areas.

  • Or applicable undergraduate degree with five years or more professional work experience aligned with one or more of the above-mentioned subject areas.

  • Ability to teach courses in one or more of the following areas: AI, machine learning, analytics, cloud computing, computer programming, cybersecurity, data management,ERP, networking, project management, information systems, systems analysis and design, and web/mobile applications development.

  • Legal authorization to work in the US. The College of Business will not provide visa sponsorship for this position now or in the future.

Preferred Qualifications

  • Prior teaching experience in one or more of the following areas: AI, machine learning, analytics, cloud computing, computer programming, cybersecurity, data management,ERP, networking, project management, information systems, systems analysis and design, and web/mobile applications development.

  • Degree obtained from a school of business accredited byAACSB(Association to Advance Collegiate Schools of Business International).

  • Previous university teaching experience in a college of business in relevant subject areas or experience teaching in a business setting.

  • Substantial business and information technology experience in relevant subject areas.

  • Experience with multi-media teaching techniques.

Application Instructions

This is an open pool posting. Applications will be reviewed as hiring needs arise, and qualified applicants may be contacted if a suitable opportunity becomes available. This pool will expire on September 30, 2026. Applicants wishing to be considered beyond this date must reapply.


Applicants will be expected to provide:

  • A cover letter indicating interest in the position at Colorado State University along with a description of the applicant's ability to meet the position's required and preferred qualifications

  • A resume/CV

  • Statement of Teaching Philosophy

Please note, applicants may redact information from their application materials that identifies their age, date of birth, or dates of attendance at or graduation from an educational institution.

Employee Benefits

Colorado State University is not just a workplace; it's a thriving community that's transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, and focus on work-life balance,CSUis where you can thrive, grow, and make a lasting impact.

  • Review our detailed benefits information here.

  • Explore the additional perks of working at CSU here.

  • For the total value of CSU benefits in addition to wages, use our compensation calculator.

  • Lastly, click here for more information about why Fort Collins is consistently ranked in the top cities to live in!

Background Check Policy Statement

Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations,CSUconducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.

EEO

Colorado State University (CSU) provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


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About Colorado State University

Sourced by ZipRecruiter

Colorado State University is one of the nation’s top public Tier 1 Research universities and an institution on the rise. Our Ram success is driven by an ambition to be excellent in all we do combined with an unparalleled location that is one of the fastest-growing and most vibrant areas in the country. CSU is a higher education destination for working and learning for faculty, staff, and students from across Colorado, the nation, and around the globe. CSU has produced record enrollment in the past decade, built on all-time highs in student diversity and student success, experienced record fundraising and research expenditures that keep hitting new highs year-after-year, and our faculty are known nationally and internationally for their groundbreaking research. Among other recognition for research and creative scholarship, CSU was recognized in 2022 as one of 10 top research institutions in the world contributing to solving the COVID pandemic. CSU is thriving, with a five-year average enrollment of more than 33,400 students. The record-setting 2022 incoming class of 5,517 students reflects 25% from diverse populations and 24% who were first in their families to attend college. CSU graduates find success with 85% securing a job related to their career plans within six months of graduation. More than nine out of 10 Rams would select CSU again, demonstrating the quality of the campus and learning environments.

Industry

Education

Company size

5,001 - 10,000 Employees

Headquarters location

Fort Collins, CO, US

Year founded

1870

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