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Work Based Learning Jobs in Vermont (NOW HIRING)

Head Librarian

Putney, VT · On-site

$44K - $82K/yr

Our commitment to social justice work is embedded in our stated Fundamental Beliefs. The ideal ... based learning experiences. * Provide instruction in research skills, database use, source ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... Compensation may also vary based on where a role is performed, as work locations are grouped into ...

Service Coordinator

Williston, VT

$20.25 - $25.75/hr

Optimize daily productivity (revenue) by scheduling work based on technician skills and route ... That's why we've built a culture that encourages experimentation, learning, and improving together.

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Showing results 1-20

Work Based Learning information

See Vermont salary details

$8

$23

$42

How much do work based learning jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for work based learning in Vermont is $23.88, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $29.38 per hour, depending on experience, location, and employer.

What are work-based learning programs?

Work-based learning programs are educational experiences that combine classroom instruction with practical, hands-on training in a real work environment. These programs help students and participants develop job-specific skills, gain industry knowledge, and build professional networks while still in school. Common examples include internships, apprenticeships, job shadowing, and cooperative education. Work-based learning bridges the gap between education and employment, making participants more prepared for their future careers.

What are the key skills and qualifications needed to thrive as a Work-Based Learning Coordinator, and why are they important?

To thrive as a Work-Based Learning Coordinator, you need a background in education, career counseling, or workforce development, often supported by a relevant degree and experience in school or business settings. Familiarity with career readiness platforms, student information systems, and compliance documentation is typically required. Strong communication, organizational, and relationship-building skills help bridge the gap between students, employers, and educators. These competencies are crucial for effectively coordinating hands-on learning experiences that prepare students for future careers.

What is the difference between Work Based Learning vs Intern?

AspectWork Based LearningIntern
CredentialsVaries; often includes certifications or courseworkTypically students or entry-level; may require enrollment in educational programs
Work EnvironmentReal workplace settings across industriesReal workplace settings, often temporary or seasonal
Employer & Industry UsageUsed by educational institutions and employers for skill developmentUsed by companies for talent scouting and training

Work Based Learning and Internships both provide practical experience, but Work Based Learning is often integrated into educational programs and may involve a broader range of activities. Internships are usually short-term positions focused on gaining industry exposure. Both serve as valuable pathways for career development.

What types of projects or assignments can I expect to work on in a Work-Based Learning (WBL) coordinator role?

As a Work-Based Learning coordinator, you'll typically manage and facilitate internships, job shadowing, apprenticeships, and other experiential learning opportunities for students. Your daily responsibilities may include developing partnerships with local employers, aligning student placements with academic goals, and ensuring compliance with relevant educational and labor regulations. You'll collaborate closely with educators, students, and industry partners to design meaningful work experiences, monitor student progress, and address any challenges that arise. This role often requires effective communication skills and adaptability to meet the changing needs of students and employers.
What are the most commonly searched types of Work Based Learning jobs in Vermont? The most popular types of Work Based Learning jobs in Vermont are:
What are popular job titles related to Work Based Learning jobs in Vermont? For Work Based Learning jobs in Vermont, the most frequently searched job titles are:
Infographic showing various Work Based Learning job openings in Vermont as of June 2026, with employment types broken down into 2% As Needed, 84% Full Time, 9% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $49,680 per year, or $23.9 per hour.
Machine Learning Engineer (PhD Intern)

Machine Learning Engineer (PhD Intern)

Instacart

Montpelier, VT

Other

Posted 18 days ago


Instacart rating

6.7

Company rating: 6.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

Overview

Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.

We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.

About the Team:

This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:

Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.

Search & Discovery ML: The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).

Content AI Team: The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!

Past internship contributions include:

Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)

About the Job

Based on your passion and background, you may choose to work in a few different areas:

  • Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
  • Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
  • Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
  • Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
  • Fraud detection and prevention - Using cost sensitive learning to reduce loss.
  • Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
  • Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.

About You

Minimum Qualifications:

  • Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
  • Strong programming (Python, C++) and algorithmic skills.
  • Good communication skills. Curious, willing to learn, self-motivated, hands-on.

Preferred Qualifications:

  • Ph.D. student at a top tier university in the United States
  • Prior internship/work experience in the machine learning space

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role.


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012