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Internship Graduate Machine Learning Jobs in Vermont

Danaher

Product Manager Internships

Rutland, VT · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing an MBA or related graduate degree * Strong analytical and problem ...

Danaher

Product Manager Internships

Montpelier, VT · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing an MBA or related graduate degree * Strong analytical and problem ...

Danaher

Product Manager Internships

Colchester, VT · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing an MBA or related graduate degree * Strong analytical and problem ...

Danaher

Product Manager Internships

Burlington, VT · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing an MBA or related graduate degree * Strong analytical and problem ...

Danaher

Product Manager Internships

Barre, VT · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing an MBA or related graduate degree * Strong analytical and problem ...

Danaher

Product Manager Internships

Essex Junction, VT · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing an MBA or related graduate degree * Strong analytical and problem ...

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Internship Graduate Machine Learning information

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

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

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What are Internship Graduate Machine Learning positions?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do Internship Graduate Machine Learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.
What job categories do people searching Internship Graduate Machine Learning jobs in Vermont look for? The top searched job categories for Internship Graduate Machine Learning jobs in Vermont are:
What cities in Vermont are hiring for Internship Graduate Machine Learning jobs? Cities in Vermont with the most Internship Graduate Machine Learning job openings:
Internship Graduate Machine Learning jobs near you
Robotics Software Engineer

Robotics Software Engineer

MVP Robotics

Bradford, VT

Full-time

Re-posted 2 days ago

Job description

Robotics Software Engineer

Overview

MVP Robotics is a boutique engineering firm born out of Dartmouth College's Thayer School of Engineering based in Bradford, VT. MVP's mission is to improve human safety and performance along with survivability through applied robotics. MVP's robotic tackling dummies have been instrumental in mitigating head injuries on the football field throughout the NFL and youth football programs. MVP's tactical robots offer live-fire shooting targets for training our nation's warfighters. MVP continues to develop next-generation training and operational tools to overcome the challenges of tomorrow.

Position Summary

MVP is seeking a motivated, organized, and skilled Robotics Software Engineer to develop novel capabilities and advanced autonomy for robotic systems. This role is based in our Bradford, VT headquarters, requires weekly in office work Monday – Friday.

What you'll do

  • Embedded systems
  • C/C++
  • Linux
  • Python
  • ROS/ROS2
  • SLAM
  • Visual Inertial Odometry
  • State Estimate & Kalman Filter Sensor Fusion
  • Demonstrated hands-on experience with camera systems and diverse sensor modalities, including radar and other perception sensors (e.g., LiDAR)
  • Path planning
  • Obstacle Detection/Collision Avoidance
  • Lidar/Radar/Stereo Vision
  • Machine Learning/Deep Learning
  • (Preferred) Network architecture & communications
  • (Preferred) Multi-Agent autonomy

We require…

  • Minimum Bachelor's degree
  • 2+ Years experience in industry (internship/co-ops considered)
  • Effective Communicator

MVP Robotics is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status.