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Mobile Machine Learning Jobs in Houston, TX (NOW HIRING)

Machine Operator

Katy, TX · On-site

$15.50 - $18.50/hr

Ambition: will ask questions, will take notes, and will show interest in learning new things, once ... Microsoft products * Ability to lift 50 lbs. or more; the ability to stand, be mobile and ...

Mobile Device Cloud / Real Device Testing integration * Build modular, maintainable test frameworks ... Integrate machine learning models into workflows using AI Center . * Build document extraction ...

... and Azure Machine Learning into production solutions building agentic and generative AI ... mobile engineers to define clean API protocols using M365 and Azure as a backend. • Serve as a ...

... and Azure Machine Learning into production solutions building agentic and generative AI ... Partner with middleware and mobile engineers to define clean API protocols using M365 and Azure as ...

... and Azure Machine Learning into production solutions building agentic and generative AI ... Partner with middleware and mobile engineers to define clean API protocols using M365 and Azure as ...

... and Azure Machine Learning into production solutions building agentic and generative AI ... mobile engineers to define clean API protocols using M365 and Azure as a backend. • Serve as a ...

... and Azure Machine Learning into production solutions building agentic and generative AI ... mobile engineers to define clean API protocols using M365 and Azure as a backend. • Serve as a ...

Product Owner

Houston, TX · On-site

$50 - $55/hr

... chatbot, and mobile app, including account management, billing, service requests, and ... Identify and evaluate opportunities to apply AI and machine learning, such as chatbots, virtual ...

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 ...

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Mobile Machine Learning information

See Houston, TX salary details

$11

$24

$114

How much do mobile machine learning jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for mobile machine learning in Houston, TX is $24.18, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $19.28 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 Houston, TX?

The most popular types of Machine Learning jobs in Houston, TX are:

What are popular job titles related to Mobile Machine Learning jobs in Houston, TX?

For Mobile Machine Learning jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Mobile Machine Learning jobs in Houston, TX look for?

The top searched job categories for Mobile Machine Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for Mobile Machine Learning jobs?

Cities near Houston, TX with the most Mobile Machine Learning job openings:

Machine Learning Engineer (Autonomy)

Houston, TX • On-site

$140K - $180K/yr

Full-time

Posted 7 days ago


Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
Role Overview
We are hiring Machine Learning Engineers (Autonomy) to build the autonomy and sensor-integration software that lets our mining vehicles perceive, decide, and drive themselves.
In this role you will work on parts of the software and sensor integration that enables full mining autonomy - sensor fusion across LiDAR, cameras, radar, and IMU/GNSS; perception, localization, and mapping; and the autonomy stack that turns sensing into safe vehicle motion. You will carry work from architecture and algorithm design through implementation, simulation, and bench and field validation, working hand in hand with our hardware, controls, and systems-engineering teams. This is a hands-on, first-principles role for an engineer who wants to develop the world's first fully autonomous mines.
What You'll Do
  • Develop autonomy software for autonomous mining vehicles focusing on one or more area: perception, SLAM, motion planning, and control
  • Integrate and calibrate the sensing suite (LiDAR, cameras, radar, IMU, GNSS), implementing sensor fusion and time synchronization robust to dust, vibration, and corrosion-heavy mining environments
  • Build and maintain embedded and real-time software that bridges sensing, compute, and actuation, with attention to safety, latency, and reliability
  • Develop simulation, logging, and data pipelines to test autonomy behavior and drive performance against safety and availability targets
  • Build bench, rig, and field validation of the autonomy stack, debugging across the full software-hardware boundary
  • Collaborate with hardware and controls engineers to integrate sensing, compute, and actuation into a complete vehicle

What You'll Bring
  • Bachelor's degree in Mechatronics, Robotics, Computer Science, Electrical, or related engineering discipline
  • 2+ years developing autonomy, robotics, or embedded software, ideally for mobile robots or vehicles
  • Strong proficiency in C++ and/or Python, and with a robotics middleware such as ROS/ROS 2
  • Hands-on experience with sensor integration and fusion - LiDAR, cameras, radar, IMU, GNSS - and with perception, localization, or motion-planning algorithms
  • Working knowledge of real-time and embedded systems, and of the controls and software-hardware integration that drive actuation
  • Experience in autonomous vehicles, robotics, automotive, or off-highway equipment strongly preferred
Our culture is built on four principles:
Everyone Gets Home Safe. We never put speed or cost ahead of people.
Extreme Ownership. We take full responsibility for outcomes, relentlessly driving toward solutions.
Engineer Out Requirements, then Automate. We simplify, optimize, and then automate for scale.
Share Your Legos. We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.
Join us as we build the future of responsible mineral sourcing and supply!