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Mobile Machine Learning Jobs in Boston, MA (NOW HIRING)

Senior Machine Learning Scientist

Boston, MA

$99.40K - $135.80K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... Experience in developing computer vision algorithms for resource-constrained devices such as mobile ...

Senior Machine Learning Scientist

Boston, MA · On-site

$99.40K - $135.80K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... Experience in developing computer vision algorithms for resource-constrained devices such as mobile ...

Post Doctoral Research Fellow

Belmont, MA · On-site

$54.10K - $73.40K/yr

... mobile sensing and data collection systems • Knowledge of machine learning and data processing techniques • Publication record in relevant technical fields • Strong analytical and problem ...

Experience with dual-arm mobile manipulation systems or other high-DOF robotic platforms * Familiarity with simulation tools such as Gazebo, Isaac Sim, or PyBullet * Background in machine learning ...

Senior Software Engineer / Back-End Developer

Woburn, MA · On-site

$128.60K - $167.10K/yr

... Mobile Operating System (iOS/Android) and mobile based applications • Expertise in object ... machine learning models into production • Proficiency with cloud platforms, such as AWS • ...

Senior Software Engineer / Back-End Developer

Woburn, MA · On-site

$128.60K - $167.10K/yr

... Mobile Operating System (iOS/Android) and mobile based applications • Expertise in object ... machine learning models into production • Proficiency with cloud platforms, such as AWS • ...

Senior Software Engineer / Back-End Developer

Woburn, MA · On-site

$128.60K - $167.10K/yr

... Mobile Operating System (iOS/Android) and mobile based applications • Expertise in object ... machine learning models into production • Proficiency with cloud platforms, such as AWS • ...

Senior Software Engineer / Back-End Developer

Woburn, MA · On-site

$128.60K - $167.10K/yr

... Mobile Operating System (iOS/Android) and mobile based applications • Expertise in object ... machine learning models into production • Proficiency with cloud platforms, such as AWS • ...

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Mobile Machine Learning information

See Boston, MA salary details

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How much do mobile machine learning jobs pay per hour?

As of May 31, 2026, the average hourly pay for mobile machine learning in Boston, MA is $27.51, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $21.92 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.

What are the most commonly searched types of Machine Learning jobs in Boston, MA? The most popular types of Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Mobile Machine Learning jobs? Cities near Boston, MA with the most Mobile Machine Learning job openings:
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Cambridge Mobile Telematics

Cambridge, MA • On-site

Full-time

Posted 27 days ago


Job description

Job Summary:
Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. As a Principal Machine Learning Engineer, you will develop algorithms to solve complex challenges in mobility, lead a team of engineers, and drive innovative solutions to enhance the company's objectives.
Responsibilities:
• Use independent judgment and discretion to spearhead the creation of innovative and cutting-edge algorithmic solutions, utilizing unconventional approaches to address complex challenges. These solutions should have a far-reaching impact on the company, and involve the development of new features and products for customers using diverse data sources
• Lead and mentor a team of talented junior machine learning engineers, guiding them through every phase of solution development, from meticulous data pre-processing and advanced modeling, to rigorous testing, seamless roll-out, and continuous performance monitoring in live production environments
• Demonstrate exceptional communication skills to effectively convey and present complex data science concepts to stakeholders across the organization. Foster a collaborative environment by actively engaging with diverse teams and promoting cross-functional cooperation
• Stay at the forefront of research and emerging trends in the field of data science. Evaluate and validate the potential impact of incorporating new ideas into the platform, products, and customer experiences, ensuring continuous enhancement and innovation
• Complete any additional tasks as they arise
Qualifications:
Required:
• Bachelor’s degree or equivalent years of experience and/or certification in Data Science, Computer Science, Electrical Engineering, Physics or Mathematics
• 7+ years of experience in the Data Science field
• 3+ years of experience developing commercial software with strong algorithmic, AI/machine learning, or signal processing components
• Deep understanding of data science principles, algorithms and practices, such as deep learning / machine learning, statistics and probability, signal processing, and sensor physics
• Must possess a thorough knowledge and practice of software development process in large scale, and proven coding skills using scripting languages e.g. Python, Pandas, NumPy, scikit-learn, SQL
• Advanced knowledge of Big Data infrastructure, computation and storage as well as scalable AI/ML platforms & tools, e.g. Spark, Ray, TensorFlow, Keras, Torch, Caffe, etc.
• Strong visualization and data literacy skills, with demonstrated ability to summarize mathematical representations into simple data visualizations and statistical results
• Strong customer-focus and presentation skills with the ability to obtain requirements and influence outcomes
Preferred:
• Master’s or Ph.D. preferred
Company:
Cambridge Mobile Telematics develops DriveWell, a complete telematics and behavioral analytics solution to improve safety. Founded in 2010, the company is headquartered in Cambridge, USA, with a team of 201-500 employees. The company is currently Growth Stage.