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Mobile Machine Learning Jobs in Massachusetts (NOW HIRING)

Adidev Technologies Inc

ML/AI Engineers

Boston, MA · 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 ...

Adidev Technologies Inc

ML/AI Engineers

Boston, MA · 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 ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Massachusetts

Mobile Machine Learning information

See Massachusetts salary details

$13

$27

$130

How much do mobile machine learning jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for mobile machine learning in Massachusetts is $27.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $22.07 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 Massachusetts?

The most popular types of Machine Learning jobs in Massachusetts are:

What are popular job titles related to Mobile Machine Learning jobs in Massachusetts?

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

What job categories do people searching Mobile Machine Learning jobs in Massachusetts look for?

The top searched job categories for Mobile Machine Learning jobs in Massachusetts are:

What cities in Massachusetts are hiring for Mobile Machine Learning jobs?

Cities in Massachusetts with the most Mobile Machine Learning job openings:

Mobile Machine Learning jobs near you

Android Developer with Security Clearance

John Galt Staffing

Lexington, MA • On-site

$62.75 - $82.25/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Hybrid The Human Health & Performance Systems Group focuses on objective, technology-based human-centered solutions to measure, model and modify cognitive and physiological function for enhancement, sustainment, or recovery. Our goal is to deliver mission-focused technologies to ensure the human component is successful. This is accomplished through four broad technical areas: health and resilience monitoring, trauma care, enhanced communications, and human machine teaming. Research in all areas includes capability gap analysis, advanced sensing, machine learning and artificial intelligence
algorithms, biologically-based modeling, prototyping, system integration, and field testing of systems to monitor the human state, predict outcomes, and intervene to improve health and performance. This position will focus on Android app development as the primary role, which includes full app capabilities (graphical user interface, underlying models, and analytics). App development may also involve wrapping or refactoring complex physiological and empirical mathematical models developed by researchers in a variety of programming languages (e.g., C, C#, MATLAB) to harden the models for use within the app. Additionally, integrating with overarching systems that enable end-user access to tools from Web Apps and wearables. In addition to developing Android apps, the position will require testing and demonstrating applications to a variety of stakeholders. A successful candidate will also have previous experience with CAREN systems and DFLOW programming along with motion capture system data structures and creating data analysis pipelines. The candidate will work closely with our research team on various programs as well has help support our STRIVE Center Research Lab as needed by developing efficient solutions to data collection and analysis needs. Candidates should be comfortable in a team environment and interested in developing technologies to improve decision support systems used in critical circumstances in the real world. Must Have:
* Android and iOS development
* Mobile user interface design principles
* Mobile user analytics
* Relational Databases (e.g., SQLite, MySQL, PostgreSQL)
* JSON and XML data formats
* Arduino, Raspberry PI, and other similar technologies
* AWS Cloud Computing
* Fluent in DFLOW programming and experience with Vicon Nexus software
* Java
* Mathematical modeling
* Scientific computing and data analysis
* Lua Nice To Have:
* Audio, video, and image processing
* Implementing machine learning models and knowledge of ML training
* Wearable device development/integration
* Knowledge of C, C++, C#, F#, Lua, Java, Kotlin, Scala, Python, Swift, MATLAB programming languages
* Thin-client, browser-based user interfacedevelopment
* Web Services, JavaScript, TypeScript, Angular, Django, SOAP/REST interfaces
* Socket networking, multi-threaded and concurrent programming
* Linux environments and experience with legacy systems
* PSI Framework
* GIS development
* Healthcare, biomedical knowledge
* Agile development process
* Automation
* Real-time data integration
* Unity development

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