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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 Aug 17, 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 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, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $57,484 per year, or $27.6 per hour.

Associate Director in Data Science, Digital Endpoints Pharma R & D (Billerica MA)

Merck KgaA

Billerica, MA • On-site

$131K - $249K/yr

Other

Medical, Retirement, PTO

Posted 3 days ago

New

Job description

Work Location: Billerica, Massachusetts
Shift: No
Department: HC-RD-BSD Advanced Data Sciences
Recruiter: Rena Ann Peterson
This information is for internals only. Please do not share outside of the organization.
Your Role:
In this pivotal role, you will build and establish scientific excellence in the development of digital biomarkers and endpoints within the Advanced Data Science team in the Data Sciences organization. You will lead the identification, development, and deployment of novel digital endpoints and outcome measures across clinical trials and life cycle management programs. Collaborating closely with the Integrated Health & Medicines organization, you will spearhead the design and validation of machine learning-driven algorithms and data processing pipelines that extract clinically relevant insights from high-volume digital health data sources, such as wearables, sensors and apps, mobile devices, and patient-facing applications.
You will develop and implement advanced machine learning and data science methods to process multimodal time-series data generated by digital devices, ensuring scientific rigor, clinical validity, and regulatory readiness. As a subject matter expert, you will embed digital health technologies within evidence generation strategies, driving their acceptance in clinical trials and practice.
You will also contribute to key regulatory filings and publications, advocating for the adoption of digital endpoints within the global R&D community. Staying at the forefront of emerging trends, you will explore and integrate emerging AI paradigms, including large language models (LLMs) and agentic AI systems, to support data interpretation, workflow automation, and digital health analytics. Your leadership will champion transformation efforts that unlock the full potential of Digital Health Technologies.
Who you are:
Minimum Qualifications:
  • You hold a PhD in a quantitative discipline (e.g., data science, computer science, biomedical engineering, statistics, physics, or related field) with a focus on large-scale data analysis.
  • You have a minimum of 7 years of relevant experience in the pharmaceutical, digital endpoints, AI/ML or related industry.
  • You possess a proven track record in designing and validating digital endpoints or biomarkers for clinical applications.
  • You have hands-on experience processing and analyzing large-scale data streams from digital health technologies, including wearables, sensors, smartphones, or connected medical devices. You have experience in building machine learning pipelines for time-series and multimodal sensor data, including feature extraction, signal processing, and model development.
  • You have strong expertise in digital biomarker/endpoint development, including psychometric and statistical validation and regulatory aspects.
  • You have solid understanding of modern machine learning and AI methods (e.g., deep learning, representation learning, time-series modeling) as applied to digital health and behavioral data.
  • You have experience with scalable data processing and ML frameworks (e.g., Python data ecosystem, distributed data processing, or cloud/HPC environments).

  • You have familiarity with generative AI and large language models, and an interest in emerging paradigms such as agentic LLM systems or AI-assisted scientific workflows.

Preferred Qualifications:
  • You possess excellent stakeholder management skills and can navigate matrixed organizations effectively.
  • You have strong communication and scientific writing skills, enabling you to translate complex technical content for diverse audiences.

Location: On-site Billerica MA
Pay Range for this position: $131,300 - $249,100
The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

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