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Mobile Machine Learning Jobs in Maryland (NOW HIRING)

Deloitte

B. automatisierte Forecasts, die auf Machine Learning und Artificial Intelligence basieren. Hands ... Mobile Working & Teilzeit, EU Remote Working, Sabbaticals, Mitarbeiter:innen-Events, Well-being ...

Deloitte

$106K - $144K/yr

Predictive Analytics, statistische Modelle, Machine Learning) sowie Erfahrung mit ... dank Mobile Working & Teilzeit, Sabbaticals und Familienservice, z B. zur Unterstutzung fur ...

Deloitte

... Machine-Learning-Modelle und wendest diese an. Data: Selbststandig planst du Daten- und Analyse ... dank Mobile Working & Teilzeit, Sabbaticals und Familienservice, z. B. zur Unterstutzung fur ...

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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

2025 Global Technology - Software Engineering Internship Program

T Rowe Price

Owings Mills, MD • On-site, Remote

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

Global Technology Software Engineering Internship Program - Maryland

For 80 years, T. Rowe Price has changed the investment management industry by delivering world-class service and guidance to individuals and institutions around the globe. Our shared values enable us to create a dynamic workplace that cultivates high achievement from diverse professionals in a variety of disciplines. Built on a tradition of integrity, we are committed to our clients and employees and focused on sustained growth and success.

We're seeking dedicated software engineers to help build the next generation of platforms and applications. If you are looking to design cloud- based architectures, deliver impactful user experiences across the web and mobile devices, and learn about the finance industry along the way, then we want you! This is a chance to create an impact on our business as a part of a broader technology transformation and gain experience in cloud-based solutions, data architecture, and business solution architecture!

Program Structure:

The T. Rowe Price 10-week Summer Internship Program offers an opportunity to gain valuable work experience while building skills and long-term career potential. Through teamwork, innovative thinking and application of your skills, you can add value in various ways to our Global Technology organization and the clients we support. You will have the opportunity to work with the latest technologies and work with forward-thinking, passionate people that will help you integrate what you learn in school with "real world" business initiatives.

Role Summary & Job Responsibilities:

You will be placed within a specific department within Global Technology. As a Software Engineering Intern you will:

  • Support part of the software development process: Design, develop, modify, adapt and implement short- and long-term solutions to information technology needs through new and existing applications, systems, databases and applications infrastructure

  • Review and interpret system requirements and business processes

  • Code, test, debug and implement software solutions

  • Recommend technical solutions based on partnership with our senior engineers

  • Implement automated testing

  • Work with existing data models and schemas

  • Apply strong logic and reasoning capabilities

  • Build industry knowledge to support the software development activities and understand the work of the team.

Areas of Interest:

  • Software Engineering (Java, JavaScript, Python, SQL, Git, CI/CD, Docker)

  • Mobile Application Development (iOS/Swift, Android/Java, Apple Testflight, Google Firebase)

  • Cloud Computing (Amazon Web Services: Development and Operations, Systems Administration, App Support)

  • Operating Systems (Linux)

  • Machine learning

Required Qualifications

  • Full time student pursing a bachelor's degree with an expected graduation date of December 2025 - May/June 2027.

  • Major: Computer Science, Computer Engineering, Mathematics, Engineering, Physics, or Data Science

  • Cumulative grade point average of at least 3.0 on a 4.0 scale

  • Actively seeks feedback and mentorship in order to improve technical skills (e.g., through submitting work for code or model review)

  • Demonstrate competence in at least one programming language or technology

  • A commitment to continuous learning and development

  • Enthusiasm for learning & results oriented

  • Stays current with many best-of-breed technologies

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), TN visa or any other non-immigrant work status)

Opportunities are available in Owings Mills and Baltimore, MD.

FINRA Requirements

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

Work Flexibility

This role is eligible for remote work up to three days a week.

WHAT TO EXPECT AFTER APPLYING

1. You will receive an email and text message to answer a few questions to verify your eligibility. If you apply for multiple jobs, you will receive separate invitations for each role and will need to respond to each. Estimated Time Commitment: 3-5 minutes

2. If you are eligible, you will be asked to complete an online assessment and record video responses to introductory questions with our vendor partner, HireVue. Take time to read all instructions carefully before responding. Some questions may require you to respond within a set time limit, or with limited retakes.You can use this opportunity to tell us more about your background and interest than we can learn from a resume alone. Estimated Time Commitment: 45 minutes

3. A member of our recruiting team will personally review your responses and follow up if you are selected for an interview.

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