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Mobile Machine Learning Jobs in Irvine, CA (NOW HIRING)

Machine Learning Scientist

Irvine, CA · On-site

$140 - $200/hr

Experience with deploying machine learning models to customers via mobile, desktop, or cloud service platforms## To ApplySend your resume/CV to **careers@steg.ai**Apply now #J-18808-Ljbffr

We are looking for software engineers, hardware engineers, roboticists, and front-end mobile ... REQUIRED QUALIFICATIONS * MS or PhD in Machine Learning, Robotics or Computer Science, with ...

We also have teams working on embedded systems, computer vision, machine learning, mobile applications, and web interfaces and services. We use a variety of tools, which we regularly evaluate to make ...

We also have teams working on embedded systems, computer vision, machine learning, mobile applications, and web interfaces and services. We use a variety of tools, which we regularly evaluate to make ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

Full Stack Developer

Irvine, CA · On-site

$90K - $110K/yr

Experience with Python AI programming or machine learning. * Experience developing mobile applications. Benefits * Company sponsored health insurance * Company sponsored 401(k) * Paid vacation time

We're innovating across diverse areas like security cameras with machine learning and video ... Build responsive, mobile-friendly web experiences that provide an exceptional user experience ...

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Mobile Machine Learning information

See Irvine, CA salary details

$13

$27

$128

How much do mobile machine learning jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for mobile machine learning in Irvine, CA is $27.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $21.68 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 Irvine, CA?

The most popular types of Machine Learning jobs in Irvine, CA are:

What are popular job titles related to Mobile Machine Learning jobs in Irvine, CA?

For Mobile Machine Learning jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Mobile Machine Learning jobs in Irvine, CA look for?

The top searched job categories for Mobile Machine Learning jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Mobile Machine Learning jobs?

Cities near Irvine, CA with the most Mobile Machine Learning job openings:

Machine Learning Scientist

Steg.AI

Irvine, CA • On-site

$140 - $200/hr

Other

Posted 8 days ago


Job description

# Machine Learning ScientistIrvine, CA**Full Time — In Office — Irvine, CA**## About Steg.AISteg.AI's mission is to protect and authenticate digital media. We do it by writing software that uses AI technology to watermark digital media. Our watermarks are invisible to humans, but detectable by our proprietary algorithms.Founded in 2019, Steg.AI is a National Science Foundation (NSF) and investor-funded startup based in Orange County, California. Our machine learning team currently consists of 3 PhDs in Computer Vision.We are looking for a highly motivated machine learning scientist with a passion for groundbreaking AI technology for watermarking, steganography, or media provenance.## Job DescriptionYou will work with the machine learning team to design and implement state of the art deep learning algorithms for steganography with digital media (e.g. images, video, etc.), and work with the engineering team to deploy these algorithms to mobile, desktop, and cloud platforms.## Scope of Responsibility* Collaborate with the machine learning team to develop and implement novel steganography algorithms with deep learning* Collaborate with the engineering team to deploy models to customers* Benchmark new models versus older models* Disseminate findings to the team via written reports and oral presentations## Required Qualifications* Expert with PyTorch and training and testing deep learning models* Familiarity with dataset collection/curation for training deep networks* Strong collaboration, communication, and organizational skills## Bonus Qualifications* Familiarity with steganography and watermarking technologies* Familiarity with image/video compression algorithms* Computer Vision/Machine Learning publications in CVPR/ICCV/NeurIPS/etc.* Experience with deploying machine learning models to customers via mobile, desktop, or cloud service platforms## To ApplySend your resume/CV to **careers@steg.ai**Apply now #J-18808-Ljbffr