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Mobile Machine Learning Jobs in Texas (NOW HIRING)

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Develop and maintain mobile applications with a focus on AI, LLM, and generative AI integration. * Assist in the implementation of machine learning models and AI algorithms within existing Mobile ...

Bright Mind Solutions LLC

Senior iOS developer

Austin, TX · On-site

$55 - $60/hr

This role involves working on both mobile development and server-side Swift, with a focus on ... Integrate AI and machine learning services, utilizing Swift APIs to interact with large language ...

Sparks Group

Data Engineer

Dallas, TX · On-site +1

$113.30K - $136.10K/yr

Exposure to machine learning pipelines, MLOps concepts, or AI-driven data workflows preferred ... Download the Sparks Group mobile app from Apple App Store or Google Play . ----- Sparks Group is an ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Adidev Technologies Inc

ML/AI Engineers

Dallas, TX · On-site

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a ...

Senseye

Senior Developer - Cloud (AWS)

Austin, TX · On-site

$165K - $200K/yr

... mobile phones. Through multiple iterations and use cases we are now focused on building the world ... Partner with Product, Research, and Machine Learning teams in designing and delivering scalable ...

Senseye

Senior Developer - Cloud (AWS)

Austin, TX

$165K - $200K/yr

... mobile phones. Through multiple iterations and use cases we are now focused on building the world ... Partner with Product, Research, and Machine Learning teams in designing and delivering scalable ...

Senseye

Senior Developer - Cloud (AWS)

Austin, TX · On-site

$165K - $200K/yr

... mobile phones. Through multiple iterations and use cases we are now focused on building the world ... Partner with Product, Research, and Machine Learning teams in designing and delivering scalable ...

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Mobile Machine Learning information

See Texas salary details

$11

$23

$111

How much do mobile machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for mobile machine learning in Texas is $23.59, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $18.80 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 Texas? The most popular types of Machine Learning jobs in Texas are:
What are popular job titles related to Mobile Machine Learning jobs in Texas? For Mobile Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Mobile Machine Learning jobs in Texas look for? The top searched job categories for Mobile Machine Learning jobs in Texas are:
What cities in Texas are hiring for Mobile Machine Learning jobs? Cities in Texas with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you
Software Development Engineer III- Mobile

Software Development Engineer III- Mobile

GM Financial

Irving, TX • Hybrid

Full-time

Retirement

Posted 2 days ago

GM Financial rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

72nd of 139 rated vehicle equipment hire

Job description

Why GM Financial Technology

Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

What makes you a dream candidate? 

  • Experience building mobile applications using React Native (iOS and Android).
  • Strong proficiency in JavaScript/TypeScript and mobile development patterns.
  • Familiarity with state management libraries (Redux, Zustand, MobX, etc.).
  • Experience with RESTful APIs and integrating mobile apps with backend services.
  • Understanding of mobile UI/UX standards, navigation patterns, and performance optimization.
  • Knowledge of secure coding practices and mobile security considerations.
  • Experience with Git, CI/CD, and Agile development methodologies.
  • Strong problemsolving, debugging, and communication skills.

Experience: 

  • 4-6 years software development experience required
  • High School Diploma or equivalent required
  • Bachelor's Degree in Computer Science or related Engineering field; and/or commensurate experience preferred
  • Experience with native iOS/Android build tools (Xcode, Android Studio) preferred 
  • Experience with automated mobile testing tools (Detox, Appium, Jest) preferred 
  • Understanding of cloud platforms (e.g., Azure) and modern deployment practices preferred 

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. 

Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive. 

Compensation: Competitive pay and bonus eligibility. 

Work Life Balance: Flexible hybrid work environment, 2 days a week in the office. 

About the role: 

The React Native Mobile Developer is responsible for building highquality, userfocused mobile applications for both iOS and Android using a shared React Native codebase. This role partners with Product, UX, API SRE, and Architecture teams to deliver secure, scalable, and maintainable mobile experiences that support key business initiatives.

In this role, you will:

  • Develop new mobile features and enhance existing ones using React Native for crossplatform delivery.
  • Integrate mobile applications with RESTful APIs to ensure smooth, performant data flow.
  • Participate in design discussions, code reviews, and bestpractice alignment to maintain code quality and architectural consistency.
  • Ensure mobile applications meet performance, security, and accessibility standards.
  • Collaborate closely with UI/UX, backend engineering, and product teams to refine requirements and deliver usercentric solutions.
  • Troubleshoot and resolve issues across devices, operating systems, and environments.
  • Write clean, maintainable, welltested code and contribute to continuous improvement of development processes.
  • Support CI/CD, mobile build pipelines, and release processes for both platforms.
  • Stay current with industry trends, frameworks, and tooling related to React Native and mobile engineering.

What GM Financial employees say

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