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Mobile Machine Learning Jobs in Massachusetts (NOW HIRING)

ICONSTAFF

Principal Software Engineer

Cambridge, MA · On-site

$190K - $210K/yr

We are looking for a collaborative, customer-focused, and creative principal software engineer to develop a high-performance mobile application framework that powers on-device machine learning models ...

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 19, 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

Software Development Engineer - Robotics Simulation

Motion Recruitment

Westborough, MA • On-site

Full-time

Re-posted 24 days ago

Job description

This company, located in Westborough Massachusetts, has a mission to make warehouses more efficient, productive, and safe. By investing, designing, and developing transformational automation solutions that power the global fulfillment network, we are building the next generation of mobile robotic systems, manipulation technology, and AI driven solutions. The company’s focus is to enhance speed, productivity, and safety to influence an entire industry’s approach to warehouse automation!
We are looking for a Software Development Engineer with a focus on Robotics Simulation. This role is critical to enabling large-scale robotics innovation by creating cloud-native infrastructure which supports machine learning training, automated validation, and distributed simulation workloads. This role sits at the intersection of AI, cloud engineering, and robotics which allows engineers to shape how the company’s robots and systems are validated, trained, and deployed at scale.
W2, On Site
Required Skills & Experience
  • Developing monitoring solutions
  • Prior experience with internally developed code like Perl, C/C++, and JAVA
  • Architect and scale cloud native systems including resource management and cost-efficient compute utilization
  • Enable large scale validation and certification workflows using automated evaluation infrastructure.
  • Enforce software engineering best practices such as code quality standards, long term maintainability, and modular architecture.
Desired Skills & Experience
  • Leadership experience
  • Familiarity with simulation frameworks or physics simulation experience.

What You Will Be Doing
Tech Breakdown
  • 35% Simulation & Physics Engines
  • 30% AI & Machine Learning
  • 20% Robotics Algorithms
  • 15% Software Engineering & Systems
Daily Responsibilities
  • 80% Hands On
  • 20% Team Collaboration

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