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Machine Learning Developer Intern Jobs in Burlington, VT

Hayward Tyler

Machinist

Colchester, VT · On-site

$27/hr

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

Marvell

Staff DFT Engineer

Burlington, VT · On-site

... and machine learning to wired and wireless infrastructure. The Design-for-Test (DFT) team is a ... Demonstrable programming skills with TCL, Python, Perl, or csh/bash in Unix type environment, with ...

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All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Burlington, VT

Machine Learning Developer Intern information

See Burlington, VT salary details

$25.6K

$42.8K

$88.3K

How much do machine learning developer intern jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning developer intern in Burlington, VT is $42,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,200.00 per year, depending on experience, location, and employer.

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.

Machine Learning Developer Intern jobs near you
Software Engineering Intern - Remote Job

Software Engineering Intern - Remote Job

EnthuZiastic

Burlington, VT • Remote

Other

Posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

  • Collaborate with other product team members to develop and maintain a growing set of applications and features.

  • Contribute across the full technology stack.

  • Analyze problems and consider existing architecture as well as future functionality when developing solutions.

  • Optimization of the application for performance and scalability.

Requirements

  • An excellent team player.

  • Excellent communication and interpersonal skills.

    • In the new world of work from home, we expect the ideal candidate to over-communicate.

    • Humility, collaboration, time management, and communication are as important as your technical skills.

  • Passionate about their work.

  • Analytical thinker with exceptional problem-solving skills.

  • Excited about writing quality code, trying new technologies, and playing well with others.

  • Solid understanding of engineering and design best practices, especially as it relates to scaling high traffic and data heavy applications.

  • Previous experience with designing, building, and scaling an application to support load changes related to growth.

  • Comfortable in dealing with complexity, lots of moving pieces, coordinating with third parties, and cross-functional teams.

  • Exquisite attention to detail, ability to identify and solve edge-cases.

  • Comfortable learning new technologies and systems.

Tech Stack:

  • Elixir / Erlang (Backend)

  • Flutter (Mobile)

  • Sveltejs, Typescript, Jest js, Jasmine js, Tailwind CSS (Frontend)

  • GraphQL (API)

  • Terraform, AWS (Cloud)

Do Not Apply If:

  • If you haven’t used Git yet.

  • You are not comfortable with startups that move fast! We’re a small group (~40) of passionate individuals who are determined to change the status quo!

Benefits

  • Opportunity to be a part of a dynamic growth focused tech startup.

  • Learn how a Product Company operates and builds great products.

  • Great learning opportunities to develop new skills and understanding of cutting edge software tools and processes.

  • Work directly with the CTO.

  • Opportunity to work closely with serial tech entrepreneurs from Silicon Valley.

  • Fun loving environment and caring team mates and inclusive culture of the company.

Apply