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Internship Machine Learning Neuroscience Jobs in Baltimore, MD

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Internship Machine Learning Neuroscience information

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$25.3K

$42.3K

$87.4K

How much do internship machine learning neuroscience jobs pay per year?

As of Aug 23, 2026, the average yearly pay for internship machine learning neuroscience 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 is an internship in machine learning neuroscience?

An Internship in Machine Learning Neuroscience is a temporary position, often for students or recent graduates, that involves applying machine learning techniques to neuroscience research. Interns may work on projects such as analyzing brain imaging data, modeling neural networks, or developing algorithms to understand brain function. These internships provide hands-on experience in both computational methods and neuroscience concepts, helping interns build valuable skills for future academic or industry roles. Opportunities can be found in universities, research institutes, or technology companies with neuroscience divisions.

What types of projects do interns typically work on in a machine learning neuroscience internship?

Interns in Machine Learning Neuroscience often engage in projects that combine data analysis, algorithm development, and neuroscience research. This can include tasks such as preprocessing neural data, building and evaluating machine learning models to interpret brain signals, or developing tools for data visualization. Interns frequently collaborate with both data scientists and neuroscientists, gaining hands-on experience with real-world datasets and exposure to interdisciplinary research environments. These projects help interns build practical skills and contribute meaningful insights to ongoing research.

What are the key skills and qualifications needed to thrive as an internship machine learning neuroscience, and why are they important?

To thrive in an Internship Machine Learning Neuroscience role, you generally need a background in neuroscience, computer science, or a related field, along with a solid understanding of machine learning concepts. Experience with programming languages such as Python, libraries like TensorFlow or PyTorch, and familiarity with neuroimaging software are commonly required. Strong analytical thinking, problem-solving skills, and effective communication help you work collaboratively and adapt to complex research environments. These skills are essential for contributing meaningfully to interdisciplinary projects at the intersection of neuroscience and artificial intelligence.

What is the difference between Internship Machine Learning Neuroscience vs Internship Data Science?

AspectInternship Machine Learning NeuroscienceInternship Data Science
Required CredentialsBackground in neuroscience, machine learning, programmingBackground in statistics, programming, data analysis
Work EnvironmentResearch labs, healthcare, academia, tech companiesBusiness, tech firms, research institutions
Industry UsageNeuroscience research, AI development, healthcare techBusiness analytics, product development, consulting

Internship Machine Learning Neuroscience focuses on applying machine learning techniques to neuroscience data, often within research or healthcare settings. In contrast, Internship Data Science covers a broader range of data analysis across industries. Both roles require programming skills, but the focus and industry applications differ significantly.

Is machine learning used in neuroscience?

Machine learning is extensively used in neuroscience, including in roles like Internship Machine Learning Neuroscience, to analyze complex brain data, model neural activity, and develop brain-computer interfaces. Skills in data analysis, programming, and understanding neural systems are essential for these applications.

What cities near Baltimore, MD are hiring for Internship Machine Learning Neuroscience jobs?

Cities near Baltimore, MD with the most Internship Machine Learning Neuroscience job openings:

Internship Machine Learning Neuroscience jobs near you

2026 Global Technology Software Engineering Internship

T Rowe Price

Owings Mills, MD • Hybrid

Internship

Re-posted 28 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 Technology program focuses on developing foundational skills to equip our early talent associates with the tools to be the future leaders of the organization. The program is non-rotational, with direct placement into a functional area based on your skillset and business unit needs. The program will focus on the pillars of education, exposure, experience, and engagement, which would include customized learning curriculum, exposure to senior leadership, community service projects, assigned mentors, and social activities.

Responsibilities

You will be placed within a specific department within Technology. As an Associate Software Engineer 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

Qualifications

Required:

  • Full time student with an expected graduation date of December 2025 - May/June 2026.
  • Minimum GPA: 3.00 overall
  • Major: Computer Science, Statistics, Mathematics, Engineering
  • Cognizant of relevant and modern software methodologies (e.g., Scrum) and understands their role as part of software delivery team
  • Demonstrate competence in at least one programming language or technology

Preferred:

  • Previous internship experience in financial services
  • Actively seeks feedback and mentorship to improve technical skills (e.g., through submitting work for code review)
  • A commitment to continuous learning and development

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).

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 three days per week from home.

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