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Machine Learning Developer Intern Jobs in Vermont

As a software developer, you will utilize modern methodologies and technologies to innovate and ... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ...

Robotics Software Engineer Overview MVP Robotics is a boutique engineering firm born out of ... Machine Learning/Deep Learning * (Preferred) Network architecture & communications * (Preferred ...

We're committed to making a positive impact on the world, providing you with diverse learning and ... Interpret engineering drawings and work instructions to understand tolerances of the parts to be ...

... machine shop environment, be proficient in reading and interpreting engineering drawings for ... Responsibilities may include assisting in basic machining tasks and learning shop processes.

We're committed to making a positive impact on the world, providing you with diverse learning and ... Machine parts from engineering drawings, 3D models, sketches, or verbal instructions in a lowvolume ...

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Machine Learning Developer Intern information

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

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

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities in Vermont are hiring for Machine Learning Developer Intern jobs? Cities in Vermont with the most Machine Learning Developer Intern job openings:
Software Engineer

Software Engineer

Epic

South Burlington, VT • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Epic is a leading healthcare technology company that develops software impacting millions of patients globally. As a software developer, you will utilize modern methodologies and technologies to innovate and enhance healthcare solutions.
Responsibilities:
• Write software that impacts the lives of 325 million patients around the world.
• Use modern development methodologies and employ user-centered design, analytics, and machine learning tools to drive innovation in healthcare.
• Invent better ways to reduce medical errors, streamline record sharing between hospitals, and provide the quality of care a patient deserves.
Qualifications:
Required:
• Relocation to the Madison, WI area (Reimbursed)
• BS/BA or greater in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field
• A history of academic excellence or professional success
• Eligible to work in the United States without visa sponsorship (persons with appropriate qualifications and eligible for TN status under NAFTA may apply)
• COVID-19 vaccination
Company:
Epic develops healthcare software that helps people get well, stay well, and help future generations be healthier. Founded in 1979, the company is headquartered in Verona, USA, with a team of 10001+ employees. The company is currently Late Stage.