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Internship Machine Learning information

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

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning, and why are they important?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What are internship machine learning positions?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a Machine Learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
What are the most commonly searched types of Machine Learning jobs in Maine? The most popular types of Machine Learning jobs in Maine are:
What are popular job titles related to Internship Machine Learning jobs in Maine? For Internship Machine Learning jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning jobs in Maine look for? The top searched job categories for Internship Machine Learning jobs in Maine are:
Internship Machine Learning jobs near you
Postdoctoral Research Scientist in Physical Oceanography & Ocean Biogeochemistry

Postdoctoral Research Scientist in Physical Oceanography & Ocean Biogeochemistry

Gulf of Maine Research Institute

Portland, ME • On-site

$70K - $75K/yr

Other

Posted 2 days ago

Job description

Description

JOB TITLE: Postdoctoral Research Scientist in Physical Oceanography & Ocean Biogeochemistry


SUPERVISOR: Zhuomin Chen, Senior Research Scientist


Starting Salary Range: $70,000-$75,000


Overview: 


The Gulf of Maine Research Institute (GMRI) develops and delivers collaborative solutions to global ocean challenges. We are dedicated to the resilience of the Gulf of Maine ecosystem and the communities that depend on it. To learn more, visit gmri.org.


The Physical Oceanography Lab at GMRI is seeking a Postdoctoral Research Scientist to advance research on coastal and shelf ocean processes and their role in biogeochemical variability and climate change. This position sits at the interface of physical oceanography, biogeochemistry, and climate science, with a focus on understanding and predicting ocean carbon cycling, oxygen dynamics, and climate-driven ocean change in the Northwest Atlantic and the Gulf of Maine.


The successful candidate will develop and apply quantitative approaches to analyze large observational datasets, regional ocean model outputs, and climate simulations. The role emphasizes translating scientific understanding into insights relevant to ecosystem variability and marine resource management, in collaboration with interdisciplinary teams.


This is an early-career position designed for candidates who are motivated to develop independence in research, build proposal-writing experience, and contribute to interdisciplinary ocean science. This position offers the opportunity to work in a highly collaborative, interdisciplinary environment and contribute to research that informs understanding of climate impacts, ecosystem dynamics, and the future of ocean systems. This is a one-year funded engagement, with the potential for extension based on performance and funding. 


Responsibilities/Tasks:

  • Design and conduct research on coastal and shelf ocean dynamics and biogeochemical processes 
  • Analyze large and complex datasets (observations, reanalysis, model outputs) using Python- and/or R-based workflows 
  • Investigate physical-biogeochemical coupling, including carbon and oxygen variability 
  • Contribute to regional ocean modeling and/or climate projection analyses 
  • Translate scientific findings into publications, reports, and presentations for scientific and applied audiences 
  • Contribute to the development of research proposals and grant applications 
  • Collaborate with interdisciplinary teams across GMRI and partner institutions 
  • Provide mentorship and guidance to interns, students, and research associates 

Requirements

Required Qualifications: 

  • Ph.D. in Physical Oceanography, Chemical Oceanography, Climate Science, Earth System Science, or a related field 
  • Strong quantitative and analytical skills and proficiency in Python (e.g., xarray, numpy, pandas, matplotlib) and/or R for large dataset analysis 
  • Experience working with large datasets and/or high-performance computing 
  • Demonstrated ability to conduct independent research and publish scientific results
  • Fluent in English
  • Eligible to work in the United States 

Other Preferred Qualifications:

  • Background in physical and biogeochemistry oceanography, especially ocean carbon and/or oxygen processes 
  • Experience with ocean or Earth  system models (e.g., ROMS, MOM6, CESM, or similar) 
  • Experience contributing to research proposals or fellowships 
  • Interest in developing independent research directions and funding 
  • Familiarity with machine learning  or advanced statistical methods

Diversity and Inclusion:


The Gulf of Maine Research Institute (GMRI) has a long-standing policy and commitment to providing equal access and equal employment opportunities in all terms, conditions, processes, and benefits of employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, family status, veteran status, or any other classification protected by law. GMRI's employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, family status, veteran status, or any other classification protected by law. 


Applicants and employees are encouraged to voluntarily provide certain status data to assist GMRI in fulfilling various reporting requirements of the federal government. This self-identification is completely voluntary, will be kept confidential and separate from your application data, and used only to meet certain state or federal reporting requirements. Providing or declining to provide this information will not result in adverse action of any kind.


Salary and Benefits:


Gulf of Maine Research Institute offers a competitive salary and benefits package.


Application Instructions:


All applications must be accompanied by a cover letter, resume and Research statement (3 pages maximum). Review of applications will begin immediately and will continue until the successful candidate has been selected. The deadline to submit applications is June 10, 2026.

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