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Remote Machine Learning Jobs in Baltimore, MD (NOW HIRING)

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Remote Machine Learning information

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$25.3K

$42.3K

$87.4K

How much do remote machine learning jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote machine learning in Baltimore, MD is $42,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineer roles are available for remote work, especially in companies that support flexible or distributed teams. Remote positions often require strong skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch, along with good communication skills. However, some roles may require on-site presence for collaboration or access to specialized hardware.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Which 5 jobs will survive AI?

Remote machine learning roles such as data scientists, AI researchers, machine learning engineers, AI product managers, and AI ethics specialists are expected to persist as AI advances. These jobs require specialized skills in programming, statistical analysis, and domain expertise that are difficult to fully automate. Continuous learning and proficiency in tools like Python, TensorFlow, or PyTorch are essential for these roles.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Are ML jobs in demand?

Machine Learning (ML) jobs are in high demand across various industries such as technology, finance, healthcare, and retail. The growth is driven by increasing adoption of AI solutions, data-driven decision making, and the need for expertise in programming, data analysis, and model deployment, making ML a promising career path.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Baltimore, MD? The most popular types of Machine Learning jobs in Baltimore, MD are:
What are popular job titles related to Remote Machine Learning jobs in Baltimore, MD? For Remote Machine Learning jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Baltimore, MD look for? The top searched job categories for Remote Machine Learning jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Machine Learning jobs? Cities near Baltimore, MD with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
2025 Global Technology - Software Engineering Internship Program

2025 Global Technology - Software Engineering Internship Program

T Rowe Price

Owings Mills, MD • On-site, Remote

Other

Posted 12 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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