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Mobile Machine Learning Jobs in Maryland (NOW HIRING)

RMA Worldwide

Mobile Mechanic

Rockville, MD · On-site

$40/hr

Embarking on a career at RMA means embarking on continuous learning and growth. Whether you're ... Conduct inspections of diesel machinery and vehicles to detect signs of possible deterioration,

Deloitte

... und Machine Learning Methoden steuerbar machen. Unser Team bildet mit seinen aktuariellen ... dank Mobile Working & Teilzeit, Sabbaticals und Familienservice, z. B. zur Unterstutzung fur ...

Deloitte

... Machine Learning, Text Mining etc. im Kontext von Kreditprozessen und - Weiterentwicklung: Du ... Mobile Working & Teilzeit, EU Remote Working, Sabbaticals, Mitarbeiter:innen-Events, Well-being ...

Deloitte

Erste praktische Erfahrung in der Entwicklung klassischer Machine-Learning-Modelle sowie ... Mobile Working & Teilzeit, EU Remote Working, Sabbaticals, Mitarbeiter:innen-Events, Well-being ...

Cymertek

Software Engineer

Annapolis Junction, MD · On-site

... Mobile Application Developer, Embedded Software Engineer, Cloud Software Engineer, DevOps Engineer, QA Engineer, Test Automation Engineer, Game Developer, Data Engineer, Machine Learning Engineer, AI ...

Deloitte

B. automatisierte Forecasts, die auf Machine Learning basieren. Hands- on-Einstieg: In agilen ... Mobile Working & Teilzeit, EU Remote Working, Sabbaticals, Mitarbeiter:innen-Events, Well-being ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Maryland

Mobile Machine Learning information

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 Maryland?

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

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

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

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

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

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

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

Mobile Machine Learning jobs near you

2026 Technology and Data Internship - T. Rowe Price

T Rowe Price

Baltimore, MD • Hybrid

Internship

Re-posted 23 days ago

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Role Summary

The T. Rowe Price internship program includesa formalorientation, peer and senior mentor assignments, and formal learning opportunities. In addition to the work assignments within the assigned department, interns also gain exposure to associates and senior leaders across the firm through an executive speaker series, networking and social events, and engagement with our Business Resource Groups.

T. Rowe Price is seeking a motivated and detail-oriented Technology and Data Intern to join our team for the summer.The intern will work alongside technology and data professionals to support projects focused on data analysis, software development, process automation, and the adoption ofcutting-edgeAI tools. This is an excellent opportunity to gain hands-on experience in financial technology while contributing to real-world business solutions.

Responsibilities

You will be placed within a specific department within Global Technology.As aTechnology and Data Internyou will:

  • Collaborate with technology and data teams to analyze business needs and design data-driven solutions.
  • Assistin the development, testing, and deployment of software applications and automation scripts.
  • Support data collection, cleaning, and visualization efforts using tools like Python, SQL, and Power BI.
  • Utilize AI tools (such as large language models, generative AI platforms, and machine learning algorithms) to enhance data analysis, reporting, and workflow automation.
  • Document technical processes and create user guides for newly developed solutions.
  • Participate in team meetings, brainstorming sessions, and cross-functional projects related to technology and data.
  • Stay current with emerging technologies, trends in AI, and best practices in data management.

Areas of Interest:

  • Software Engineering (Java, JavaScript, Python, SQL, Git, CI/CD, Docker)
  • Mobile Application Development (iOS/Swift, Android/Java, AppleTestflight, Google Firebase)
  • Cloud Computing (Amazon Web Services: Development and Operations, Systems Administration, App Support)
  • Operating Systems (Linux)
  • Machine learning

Qualifications

Required:

  • Full time student pursing a bachelor's degree with an expected graduation date of December 2026- May/June 2028.
  • Major: Computer Science, Computer Engineering, Mathematics, Engineering, Physics, or Data Science
  • Familiarity with programming languages (Python, Java, etc.) and data analysis tools.
  • Interestin AI technologies and experience using AI platforms (such as ChatGPT, Microsoft Copilot, or similar).
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and in a collaborative team environment.
  • Eagerness to learnnew technologiesand contribute to innovative solutions

Preferred:

  • Cumulative grade point average of at least 3.0 on a 4.0 scale
  • Actively seeks feedback and mentorshipin order toimprove technical skills (e.g., throughsubmittingwork for code or model review)
  • A commitment to continuous learning and development
  • Enthusiasm for learning & results oriented

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TNvisaor any other non-immigrant work status)

What T. Rowe Price employees say

Pay

Benefits

Hours and flexibility

Workplace

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