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Mobile Machine Learning Jobs in Denver, CO (NOW HIRING)

Paradigm

Senior ML Ops Engineer

Denver, CO · On-site

$123K - $170K/yr

We are building the future with modern software engineering, agent-assisted systems, and mobile ... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ...

EchoStar

Data Scientist II, AI Analytics

Denver, CO · On-site

$100K - $136K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Technology ... Deliver production-grade machine learning models for customer segmentation, churn prediction, and ...

EchoStar

Senior AI Product Manager

Englewood, CO

$96K - $158K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Technology ... High-level proficiency in applying UX principles to complex machine learning outputs and navigating ...

EchoStar

Billing Operations Manager I

Englewood, CO

$72K - $103K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our investment in ... Integrate AI tools, machine learning concepts, and automation into complex billing procedures to ...

EchoStar

Senior AI Product Manager

Englewood, CO · On-site

$96K - $158K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Technology ... High-level proficiency in applying UX principles to complex machine learning outputs and navigating ...

Medtronic

Computer Vision Engineer II

Lafayette, CO

$101K - $139K/yr

Exposure to machine learning frameworks or model deployment workflows. * Familiarity with ... to be independently mobile. The employee is also required to interact with a computer, and ...

New

Medtronic

Computer Vision Engineer II

Lafayette, CO

$101K - $139K/yr

Exposure to machine learning frameworks or model deployment workflows. * Familiarity with ... to be independently mobile. The employee is also required to interact with a computer, and ...

New

Cymertek

Software Engineer

Aurora, CO · On-site

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

Deloitte

Oracle Gen AI Manager

Denver, CO · On-site

... 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 ...

Entravision Communications

Sales Director US

Denver, CO · On-site

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 ...

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Showing results 1-20

All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Denver, CO

Mobile Machine Learning information

See Denver, CO salary details

$12

$26

$122

How much do mobile machine learning jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for mobile machine learning in Denver, CO is $26.07, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $20.77 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 Denver, CO? The most popular types of Machine Learning jobs in Denver, CO are:
What are popular job titles related to Mobile Machine Learning jobs in Denver, CO? For Mobile Machine Learning jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Denver, CO look for? The top searched job categories for Mobile Machine Learning jobs in Denver, CO are:
What cities near Denver, CO are hiring for Mobile Machine Learning jobs? Cities near Denver, CO with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you

Senior ML Ops Engineer

Paradigm

Denver, CO • On-site

$123K - $170K/yr

Full-time

Posted 20 days ago

Job description

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are building the future with modern software engineering, agent-assisted systems, and mobile-first experiences. We are powered by our parent company, Builders FirstSource (NYSE: BLDR): a Fortune 300 company with over $23 billion in revenue and more than 29,000 employees across 550+ locations, BFS is redefining construction through data, digital infrastructure, and AI-powered innovation.

What You Will Do:

· Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.

· Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.

· Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.

· Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.

· Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.

· Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.

· Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.

· Implement and maintain IaC patterns using Terraform.

· Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.

· Provide guidance and mentorship to other engineers.

What You Need to Succeed:

· Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.

· 4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.

· Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.

· Experience building and maintaining automated machine learning pipelines and CI/CD workflows.

· Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.

· Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.

· Experience working with cloud-based machine learning solutions, preferably within Azure.

· Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.

Ready to Join? Apply now at myparadigm.com/careers/

Compensation Range: $123K - $170K