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Mobile Machine Learning Jobs (NOW HIRING)

Liftoff Inc

Machine Learning Engineer

California, MO · On-site

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end ... The team of machine learning engineers, software engineers, and data analysts develops theories ...

Stefanini

Machine Learning Engineer

Dearborn, MI

Stefanini is looking for a Machine Learning Engineer, Dearborn, MI (Onsite) For quick apply, please ... mobile application and backend microservices. Experience PreferredStrong understanding of ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference) * Familiarity with ...

NxT Level

Senior Machine Learning Engineer

Manhattan, NY

$115.20K - $158.20K/yr

Machine Learning Engineer Our client is a public safety product that's looking to add a machine ... Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

... mobile devices to search and find what they are looking for. As part of our team, you will be ... in machine learning and software engineering to understand user queries and intents, retrieve and ...

Button

Senior Machine Learning Engineer

Manhattan, NY

$153K - $198K/yr

We build with the consumer experience in mind, have a reputation for paving the future of mobile, and have a good time doing it. As a Senior Machine Learning Engineer, you will own the end to end ML ...

Button, Inc.

Senior Machine Learning Engineer

$153K - $198K/yr

We build with the consumer experience in mind, have a reputation for paving the future of mobile, and have a good time doing it. As a Senior Machine Learning Engineer, you will own the end to end ML ...

Magnopus

Machine Learning Engineer II

Los Angeles, CA

$100K - $150K/yr

Magnopus is looking for a Machine Learning Engineer who thrives at the intersection of product ... Experience optimizing models for performance on constrained hardware (mobile, console, etc.

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Mobile Machine Learning information

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How much do mobile machine learning jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for mobile machine learning in the United States is $25.32, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 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.

More about Mobile Machine Learning jobs
What cities are hiring for Mobile Machine Learning jobs? Cities with the most Mobile Machine Learning job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Mobile Machine Learning jobs? States with the most job openings for Mobile Machine Learning jobs include:
What job categories do people searching Mobile Machine Learning jobs look for? The top searched job categories for Mobile Machine Learning jobs are:
Mobile Machine Learning jobs near you
Infographic showing various Mobile Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 38% Full Time, 57% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $52,676 per year, or $25.3 per hour.

Machine Learning Researcher

Rivet Industries

San Jose, CA

$150K - $290K/yr

Other

PTO

Posted 9 days ago

Job description

About Rivet
Rivet is an American company building integrated task systems - fusing hardened hardware with software, sensors, AI, and networking - for industrial workforces and defense personnel. We create capabilities that multiply the effectiveness of every individual and withstand the world's toughest environments.
We serve the people who build, operate, maintain, and defend our way of life. From technicians and engineers to first responders and service members, they embody the hard work, ingenuity, and meritocratic values that drive Western prosperity. Yet too often they are forced to rely on outdated tools that fail under modern pressures. Rivet exists to reset that priority.
At Rivet, you'll join a mission-driven team that fuses disciplines to deliver decisive outcomes where they matter most. Whether shaping our technology, strengthening our partnerships, or building our culture, every role here contributes to equipping the front lines with the modern systems they deserve.
Who Thrives Here
  • People with a deep disdain for bureaucracy, empire building, groupthink, dogma, corporate babble, and wasted time
  • Teammates who want to work exclusively alongside others at the top of their field
  • Experienced, no-nonsense professionals who are execution-focused and deliver high-quality solutions above all else
Work Authorization Requirement: Due to the nature of our business and compliance with federal regulations, all candidates must be a "U.S. Person". Upon hire, you will be required to provide documentation verifying your status as a U.S. Citizen, a lawful permanent resident, or a protected individual under 8 U.S.C. 1324b(a)(3).
Role: Machine Learning Researcher
Location: 2550 N First Street Suite 250, San Jose, California 95131
Compensation*: $150,000-$290,000 + benefits
Role Description
We are seeking a talented ML Researcher / Research Engineer to advance our computer vision and sensor fusion capabilities. This role combines cutting-edge research with practical implementation of machine learning pipelines for imaging, pose estimation, and model optimization. The ideal candidate will have strong expertise in Python, deep learning frameworks, and experience deploying ML models in production environments. You'll explore new ideas, validate them against the state of the art and deliver working prototypes that influence our product and research direction.
Responsibilities
  • Implement POCs in Python/C++ to validate ML ideas on embedded hardware
  • Conduct research in imaging and video processing pipelines for AR/VR applications
  • Document learnings and define clear pathways from prototype to production
  • Research and implement model optimization techniques for edge deployment
  • Stay current with latest developments in computer vision and machine learning literature
  • Prototype novel algorithms and validate performance through experimentation
  • Design and implement end-to-end machine learning pipelines using PyTorch and TensorFlow Lite
  • Optimize models for real-time performance on mobile and embedded platforms
  • Implement MLOps best practices for model versioning, monitoring, and continuous integration
  • Create scalable data preprocessing and augmentation pipelines
Role Requirements
  • BS with a minimum of 5+ years of academic or industry experience in machine learning research or applied ML engineering with shipped or published work (or MS with 2+ yrs of the above)
  • Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow)
  • Experience with ML pipeline development, model deployment, and production monitoring
  • Knowledge of quantization, pruning, and edge deployment techniques
Preferred Qualifications
  • PhD in Computer Vision, Machine Learning, or related field
  • Publications in top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICML)
  • Experience with AR/VR or mobile computer vision applications
  • Knowledge of CUDA programming and GPU optimization
  • Experience with cloud platforms (AWS, GCP, Azure) for ML workloads
  • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
  • Experience with distributed training and large-scale data processing
Research Areas (at least one)
  • Imaging/Video Pipeline: Experience with computational photography, video processing, or camera systems
  • Sensor Fusion & Pose Estimation: Research background in multi-sensor data fusion, tracking, or SLAM
  • Model Optimization: Experience optimizing ML models for mobile/embedded deployment
Foundational Knowledge (preferred understanding)
  • Camera Systems: Intrinsic/extrinsic calibration, pinhole model, distortion correction, FOV, color science, exposure control, stereo matching
  • Image Processing: Demosaic, denoising, sharpening, color correction, tone mapping, gamma correction, HDR, super resolution, segmentation, white balance
  • Computer Vision: Feature detection/matching, optical flow, structure from motion, 3D reconstruction, SLAM algorithms
  • IMU & Sensor Fusion: 6DOF/3DOF tracking, gyroscope/accelerometer/magnetometer integration, sensor calibration, sensor fusion algorithms

*Total compensation may vary within this range and is determined by years and level of relevant experience, job-related skills, education, and other factors. In addition to base salary, this role may be eligible for equity grants and other forms of compensation. Eligible employees also receive a competitive benefits package, including unlimited PTO.

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