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

AI Business Partner

Littleton, CO · On-site

$110K - $157K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Technology ... machine learning capabilities into measurable improvements in network reliability, bandwidth ...

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Technology ... Critical experience securing cloud-native systems and automated machine learning pipelines using ...

As a recognized leader in AI and machine learning, our team leverages data and patented technology ... You'll also configure the mobile workflows our drivers follow in the field, ensuring that every ...

Director, State Income Tax

Englewood, CO · On-site

$185K - $225K/yr

Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile, OnTech and GenMobile ... AI and machine learning tools to optimize tax workflows and reporting.  Communication:

AI Data Engineer II

Denver, CO · On-site

$100K - $136K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Technology ... AI Application literacy, with the ability to leverage machine learning libraries and NLP frameworks ...

Lead Network Engineer

Littleton, CO · On-site

$110K - $160K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Wireless ... AI Literacy and Application skills to leverage machine learning models for network optimization and ...

Lead Network Engineer

Littleton, CO · Hybrid

$110K - $160K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our Wireless ... AI Literacy and Application skills to leverage machine learning models for network optimization and ...

Senior Software Developer

Denver, CO · On-site

$56 - $74/hr

... and mobile applications, ensuring high performance, reliability, and maintainability. • ... and machine learning technologies(e.g., large language models, computer vision) to enhance ...

Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and ... Lead development in advancing our robotics capabilities to include AI and machine learning for ...

Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and ... Lead development in advancing our robotics capabilities to include AI and machine learning for ...

Showing results 21-40

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 23, 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 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 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 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 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 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 cities near Denver, CO are hiring for Mobile Machine Learning jobs?

Cities near Denver, CO with the most Mobile Machine Learning job openings:

Infographic showing various Mobile Machine Learning job openings in Denver, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $54,218 per year, or $26.1 per hour.

Senior Emboddied AI Engineer (Centennial, CO)

Orica

Centennial, CO • On-site

$103K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

About Orica
At Orica, it's the power of our people that leads change and shapes our futures.
Every day, all around the world, our people help mobilize vital resources essential to progress. Established in 1874, we have grown to become the world leader in mining and civil blasting with a diverse of team of more than 13,000 across the world. From the production and supply of explosives, blasting systems, mining chemicals and geotechnical monitoring to our cutting-edge digital solutions and comprehensive range of services, we sustainably mobilize the earth's resources.
It's an exciting time to join us - we are shaping the future of mining through digital and automated technologies, embracing new ways of thinking, pioneering innovation, and reimagining the way we work.
Orica has been recognized as one of the top companies for women to work for in the transportation industry by the Women in Trucking Association (WIT) in 2023, 2024 and 2025.
About the role - 39110 - Senior Embodied AI Engineer (Centennial, Colorado)
Orica is seeking a highly skilled Senior Embodied AI Engineer with deep expertise in field robotics, machine vision and machine learning, vision-language-action (VLA) models, system integration, and sensor fusion to lead the deployment of mobile robotic platforms into real-world field environments. This role focuses on end-to-end autonomy system architecture, hardware-software integration, and robust ROS2 middleware implementation for production-grade mobile robots.
The successful candidate will bridge low-level embedded systems and high-level robotic autonomy stacks, ensuring reliable performance in challenging field conditions.
This is a hybrid position is based in our Centennial, Colorado office
What you will be doing
1. ROS2 System Integration
Develop and maintain ROS2-based robotic systems, including nodes, lifecycle management, and launch configurations.
Integrate navigation, localization, perception, and control subsystems.
Configure middleware, diagnostics, logging, and secure communications.
2. State Estimation & Sensor Fusion
Design and optimize sensor fusion solutions using IMU, GNSS, odometry, LiDAR, and cameras.
Develop localization and SLAM capabilities for GPS-denied environments.
Support mapping, relocalization, and navigation system performance.
3. Perception System Design
Develop perception solutions for obstacle detection, terrain analysis, and environmental awareness.
Optimize real-time performance on embedded and edge computing platforms.
Support deployment of AI/ML models and simulation environments for autonomous system development.
4. Field Deployment & Validation
Lead system integration, testing, and validation for field deployments.
Conduct HIL and system-level testing and troubleshoot integration issues.
Establish reliability standards, performance benchmarks, and validation procedures.
5. Embedded Systems Architecture
Design and integrate embedded hardware and software for robotic platforms.
Interface sensors, actuators, and communication protocols (CAN, SPI, I2C, Ethernet).
Optimize system performance, reliability, and power efficiency.
6. Cross-Functional Leadership
Collaborate with R&D, engineering, delivery, and operations teams.
Provide technical guidance across robotics and autonomy systems.
Mentor engineers and contribute to long-term technology strategy.
7. Technology & Innovation
Foster innovation, collaboration, and continuous improvement.
Promote Orica's Charter and Values while supporting an inclusive and high-performing culture.
Share knowledge and build strong partnerships across teams.
8. Data Governance
Ensure compliance with data governance, cybersecurity, and SDLC standards.
What you will bring
Experience and Qualifications
  • Masters or higher degree in Electrical Engineering, Computer Engineering, Robotics, or related field.
  • Multiple years of experience in embedded systems development.
  • Strong proficiency in Python and C/C++ for embedded and Linux-based systems.
  • Extensive experience with ROS2.
  • Experience integrating sensors (LiDAR, IMU, GNSS, cameras) and motor control systems.
  • Solid understanding of real-time systems and communication protocols (CAN, SPI, I2C, UART, Ethernet).
  • Experience with Linux-based embedded platforms (e.g., NVIDIA Jetson, NXP, STM32, TI, etc.).
  • Proven experience deploying robotic systems in production or field environments.
  • Ability to work independently and as part of a team.

Preferred
  • Sim to Real
  • VLM or VLA
  • Experience with mobile robot navigation stacks.
  • Knowledge of SLAM, localization, and sensor fusion pipelines.
  • Experience with containerisation (Docker) for robotics.
  • Cybersecurity practices for embedded/robotic systems.
  • Experience with computer vision and robotics model development.
  • Experience with field robotics in harsh outdoor environments.

How and When to Apply
If interested in this role, please apply at www.orica.com/careers to Job Requisition 39110
Application Deadline: August 1, 2026
What we offer
As part of a truly global company, you will have the ability to grow and learn in a diverse, collaborative culture. We foster relationships and learning through connected global and local teams, promote flexible and diverse career paths and support the development of your knowledge and skills.
You will be paid a competitive salary, learn from talented individuals across multiple disciplines and be able to thrive in a safe workplace within a collaborative culture. Ignite your career at a place where your distinct potential can find its home.
Compensation Range
• $130,000.00 - $150,000.00 USD per year
• Eligible for annual short-term incentive plan
(Salary to be determined by the applicant's experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.)
Benefits
• Medical/Prescription Drug - Three (3) plans to choose from
• Dental - Two (2) plans to choose from
• Vision - Two (2) plans to choose from
• Health Savings Account
• Flexible Spending Accounts
• Basic Employee Life and Accidental Death & Dismemberment Insurance
• Voluntary Employee/Dependent Life and Accidental Death & Dismemberment Insurance
• Company provided Short-Term and Long-Term Disability
• Company provided Employee Assistance Program
• Voluntary Hospital Indemnity, Critical Illness & Accident Plans
• Voluntary Identity Theft Protection
• Voluntary Legal Plan
• 401(k) + Company Match
• Company provided Maternity Leave
• Company provided Bonding Leave
• Accrued Paid Time Off
• Paid Sick & Safe Time
• Nine (9) Scheduled Holidays + Two (2) Floating Holidays
We respect and value all
Orica is an Equal Opportunity Employer and we are a Drug-free workplace.
Orica promotes and fosters a culture of inclusion and Equal Opportunity Employment everywhere we operate. We treat our people and applicants with fairness, dignity, and respect, getting the best of everyone's contributions. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, gender perception or identity, nationality, age, military or veteran, marital or disability status.
We have been made aware that some individuals have received scam emails which include false and invalid offers of employment from Orica. Please note that Orica will not offer employment to any candidate without first undertaking a formal application and recruitment process. All candidates are required to actively participate in the recruitment process applicable to the specific role and location where the role is based, prior to any offer of employment being made. Please also be advised that Orica will never request payment or require candidates to deposit a check during the recruitment and onboarding processes.