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Mobile Machine Learning Jobs in Somerville, MA (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 Somerville, MA

Mobile Machine Learning information

See Somerville, MA salary details

$13

$27

$130

How much do mobile machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for mobile machine learning in Somerville, MA is $27.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $22.02 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 Somerville, MA?

The most popular types of Machine Learning jobs in Somerville, MA are:

What are popular job titles related to Mobile Machine Learning jobs in Somerville, MA?

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

What job categories do people searching Mobile Machine Learning jobs in Somerville, MA look for?

The top searched job categories for Mobile Machine Learning jobs in Somerville, MA are:

What cities near Somerville, MA are hiring for Mobile Machine Learning jobs?

Cities near Somerville, MA with the most Mobile Machine Learning job openings:

Mobile Machine Learning jobs near you
Infographic showing various Mobile Machine Learning job openings in Somerville, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $57,484 per year, or $27.6 per hour.

Senior Robotics Engineer / Navigation

Motion Recruitment

Charlestown, MA • On-site

$113K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

This company is at the forefront of robotics, developing advanced navigation systems for autonomous mobile robots. In this role, you'll have the opportunity to lead and innovate in the field of robotics navigation, optimizing speed and safety for autonomous robot fleets. This is a full time position that is onsite in Boston, MA.
Required Skills & Experience
  • 5+ years of experience in robotics engineering
  • Industry experience developing navigation algorithms for mobile robots
  • Proficient in Python and C++
  • Deep understanding of robot kinematics and dynamics
  • Experience with graph search methods for planning (A*, RRT, PRM)
  • Experience with mathematical optimization techniques (convex optimization, nonlinear programming)
  • Experience with control algorithms for mobile robots (PID, Pure Pursuit, LQR)
  • Experience shipping and supporting navigation features for a fleet of mobile robots
Desired Skills & Experience
  • Experience with trajectory optimization or model-predictive control
  • Experience with collision avoidance and autonomous recovery behaviors
  • Expereince with machine learning techniques for motion planning (behavior cloning, diffusion policies)
  • Experience leading a team of engineers through Scrum process
  • Master's Degree in related field
What You Will Be Doing
Tech Breakdown
  • 20% Python, C++
  • 50% Navigation Algorithms
  • 30% Motion Planning
Daily Responsibilities
  • 75% Hands On
  • 10% Management Duties
  • 15% Team Collaboration

The Offer
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • PTO
  • 401k

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply