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Mobile Machine Learning Jobs in Colorado (NOW HIRING)

EchoStar

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 ...

EchoStar

Senior Supply Planner

Littleton, CO · On-site

$72.35K - $103.40K/yr

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 ...

EchoStar

Senior Product Manager - AI Products

Denver, CO

$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 ...

EchoStar

Business Operations Analyst III

Englewood, CO

$63.15K - $90K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... AI literacy and the ability to apply machine learning concepts to automate manual reporting and ...

EchoStar

Business Operations Analyst III

Englewood, CO · On-site

$63.15K - $90K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... AI literacy and the ability to apply machine learning concepts to automate manual reporting and ...

EchoStar

Supply Chain Analyst III

Littleton, CO · On-site

$63.15K - $90K/yr

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 ...

HDR

Computational Engineer

Denver, CO · On-site

$114.80K - $135.30K/yr

Design, architect, and build modern web, mobile and desktop applications and scripts • Establish ... or machine-learning capabilities into software applications • Experience with numerical ...

EchoStar

Senior AI Platform Engineer

Englewood, CO

$116.88K - $158.13K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... Active Databricks certifications in Data Engineering, Platform Administration, or Machine Learning ...

EchoStar

Senior Financial Strategy Analyst

Englewood, CO · On-site

$72.35K - $103.40K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... AI Literacy and the ability to apply machine learning principles to enhance data efficiency and ...

EchoStar

Principal Financial Strategy Analyst

Englewood, CO · On-site

$96.25K - $137.50K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... AI Literacy and the ability to apply machine learning principles to enhance data efficiency and ...

New

EchoStar

Staff Accountant II

Littleton, CO · On-site

$63.15K - $90K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... Leverage automated tools and machine learning applications to streamline data entry, reduce cycle ...

EchoStar

Principal Engineer - Backend

Englewood, CO

$127.05K - $181.50K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... AI Literacy and the ability to integrate machine learning models for predictive system scaling or ...

EchoStar

Senior Analyst - CX Optimization

Englewood, CO · On-site

$72.35K - $103.40K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... AI Innovation skills focused on applying large-scale automation and machine learning to optimize ...

EchoStar

Staff Accountant II

Littleton, CO

$63.15K - $90K/yr

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department ... Leverage automated tools and machine learning applications to streamline data entry, reduce cycle ...

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Mobile Machine Learning information

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$12

$26

$125

How much do mobile machine learning jobs pay per hour?

As of May 31, 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 job categories do people searching Mobile Machine Learning jobs in Colorado look for? The top searched job categories for Mobile Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Mobile Machine Learning jobs? Cities in Colorado with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you
Senior Product Manager - AI Products

Senior Product Manager - AI Products

EchoStar

Denver, CO • On-site

$96.25K - $137.50K/yr

Full-time

Medical, Retirement

Posted 14 days ago

EchoStar rating

6.9

Company rating: 6.9 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

53rd of 76 rated telecommunications companies

Job description

Company Summary
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Department Summary
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
Key Responsibilities:
  • Define and communicate AI product vision, roadmap, and business requirements through close stakeholder collaboration with the AI Office
  • Own and prioritize the product backlog based on value, goals, capacity, and ROI, emphasizing paired data scientist/engineer work
  • Manage the AI initiative pipeline, balancing near-term delivery with long-term strategy and early production integration
  • Write, decompose, and accept Epics as the primary unit of value; partner with the team to create high-quality User Stories
  • Drive delivery outcomes by monitoring product performance, using data insights to improve deployment speed, maintainability, and quality
  • Manage stakeholder expectations and budgets by balancing priorities with feasibility, advocating collaborative development to maximize value

Skills, Experience and Requirements
Education and Experience:
  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • 4+ years in product management, ideally on data-driven/AI/ML solutions

Skills and Qualifications:
  • Strong understanding of agile/scrum, including paired programming principles
  • Experience building machine learning and deep learning based software applications
  • Proven ability to manage stakeholders and communicate effectively with technical and business teams
  • Experience managing product backlogs and delivering value via prioritized, paired development
  • Ability to make data-driven decisions and analyze performance metrics, including code quality/deployment efficiency
  • Experience with cloud stack (AWS, GCP or Azure)
  • Experience with AI/ML, Generative AI and Agentic AI awareness
  • Certification in agile methodologies such as Certified Scrum Product Owner (CSPO) preferred

Visa sponsorship not available for this role
Salary Ranges
Compensation: $96,250.00/Year - $137,500.00/Year
Benefits
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

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