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Machine Learning Software Engineer Intern Jobs in Burlington, VT

Green Mountain Power

Data Engineer

Colchester, VT · On-site

$145K - $150K/yr

Build, validate, and deploy machine learning models and algorithms using best practices in data ... software engineering. Experience must include: Programming Languages: PL/SQL, Java, Python, HTML ...

Green Mountain Power

Data Engineer

Colchester, VT · On-site +1

$145K - $150K/yr

Build, validate, and deploy machine learning models and algorithms using best practices in data ... software engineering. Experience must include: Programming Languages: PL/SQL, Java, Python, HTML ...

Cox Communications, Inc.

Software Engineer I

Burlington, VT · On-site +1

$74K - $111K/yr

We are looking for a Software Engineer I who is eager to learn, grow, and contribute to a high ... You will begin learning how to leverage AI tools such as GitHub Copilot, Claude Code, and MCP-based ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Burlington, VT

Machine Learning Software Engineer Intern information

See Burlington, VT salary details

$13

$25

$38

How much do machine learning software engineer intern jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for machine learning software engineer intern in Burlington, VT is $25.52, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $28.94 per hour, depending on experience, location, and employer.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
Machine Learning Software Engineer Intern jobs near you
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Burlington, VT • On-site

Other

Re-posted 18 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply