1

Solutions Engineer Intern Jobs in Springfield, MA

Senior Software Engineer

Bloomfield, CT

$122K - $161K/yr

About the Role The Senior Software Engineer designs, develops, and supports software solutions for ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

As a Summer intern, you'll play an active role supporting the team throughout every phase of a ... Actively enrolled in a bachelor's or advanced degree in Engineering, Construction Management ...

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

... data engineering, and other modeling organizations to deliver modeling solutions that directly ... Support hiring and onboarding, including intern and actuarial student rotations. Strategic ...

next page

Showing results 1-20

Solutions Engineer Intern information

See Springfield, MA salary details

$11

$19

$29

How much do solutions engineer intern jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for solutions engineer intern in Springfield, MA is $19.25, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.82 per hour, depending on experience, location, and employer.

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

To thrive as a Solutions Engineer Intern, you need a solid understanding of computer science fundamentals, strong problem-solving abilities, and working knowledge of programming languages, often supported by ongoing technical coursework or a related degree. Familiarity with CRM platforms, APIs, cloud services, and presentation tools is commonly expected, along with exposure to technical sales enablement software. Exceptional communication, curiosity, and teamwork skills help interns effectively bridge technical and business needs. These competencies are vital for translating customer challenges into actionable solutions and supporting pre-sales activities in a collaborative environment.

What does a Solutions Engineer Intern do?

A Solutions Engineer Intern supports the sales and engineering teams by helping to design, demonstrate, and implement technical solutions for clients. They work closely with customers to understand their business needs and help match those needs with the company's products or services. Typical tasks include creating product demos, answering technical questions, and assisting with proof of concept projects. This role is ideal for students or recent graduates who want hands-on experience bridging technical and business goals.

What is the difference between Solutions Engineer Intern vs Solutions Engineer?

AspectSolutions Engineer InternSolutions Engineer
Required CredentialsTypically pursuing or recent graduate with relevant courseworkBachelor's degree in engineering, CS, or related field; experience preferred
Work EnvironmentInternship, learning-focused, mentorship providedFull-time, client-facing, project-driven
Employer & Industry UsageUsed in tech companies, startups, and large enterprises for entry-level rolesCommon in tech, SaaS, and software solutions companies
Comparison Search IntentYesYes

The Solutions Engineer Intern role is an entry-level position designed for students or recent graduates gaining industry experience. In contrast, a Solutions Engineer is a full-time professional responsible for designing and implementing technical solutions for clients. While both roles require technical knowledge, the internship focuses on learning and skill development, whereas the Solutions Engineer role involves more responsibility and client interaction.

What types of projects and responsibilities can a Solutions Engineer Intern expect during their internship?

As a Solutions Engineer Intern, you can expect to work on a variety of projects that bridge technical and client-facing activities. Typical responsibilities include assisting with product demonstrations, supporting technical proof-of-concepts, troubleshooting client issues, and collaborating closely with sales and engineering teams to tailor solutions to customer needs. Interns often gain exposure to both technical documentation and communication with clients, providing a well-rounded experience that prepares them for a full-time role in solutions engineering. The internship may also involve shadowing senior engineers and participating in team meetings to understand the full sales-to-deployment process.
What are the most commonly searched types of Solutions Engineer jobs in Springfield, MA? The most popular types of Solutions Engineer jobs in Springfield, MA are:
What are popular job titles related to Solutions Engineer Intern jobs in Springfield, MA? For Solutions Engineer Intern jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Solutions Engineer Intern jobs in Springfield, MA look for? The top searched job categories for Solutions Engineer Intern jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Solutions Engineer Intern jobs? Cities near Springfield, MA with the most Solutions Engineer Intern job openings:
Machine Learning Engineer (PhD Intern)

Machine Learning Engineer (PhD Intern)

Instacart

Springfield, MA

Other

Posted 29 days ago


Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

32nd of 62 rated delivery companies


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