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Associate Software Engineer Intern Jobs in Boston, MA

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high-impact, process-heavy work that is ripe for AI automation. Current focus areas include CVE ...

We foster a culture in which every associate feels welcomed and respected, where leaders and ... We are seeking a one-year research intern who is action oriented, adaptable, collaborative ...

Software Engineer

Lowell, MA ยท On-site +1

$96K - $154K/yr

As a Software Engineer, your main focus will be on designing, developing, testing and collaborating ... Spread across 40+ countries, our associates work flexibly across work environments, from in-office ...

... Software Engineer who thrives at the intersection of cutting-edge AI technology and real-world ... Strong communication skills--you can explain technical concepts to anyone from intern to CTO * Must ...

Mechanical Engineer (Intern)

Natick, MA ยท On-site

$28 - $32/hr

This position will expose the candidate to real-world manufacturing challenges which bridge several engineering disciplines, including electrical, mechanical, computer/software and human factors ...

Cloud Software Engineer

Cambridge, MA ยท On-site

$90K - $210K/yr

As a Cloud Software Engineer at MORSE, you will work on cutting-edge technology and directly ... AWS Solutions Architect Associate certification. * Security+ or equivalent security certification.

Senior Software Engineer

Boston, MA ยท On-site

$150K - $170K/yr

Senior Software Engineer -- Boston, MA area A well-established consumer media and technology ... Mentor and develop mid-level and associate engineers through pairing and hands-on feedback * Help ...

Showing results 41-60

Associate Software Engineer Intern information

See Boston, MA salary details

$14

$27

$42

How much do associate software engineer intern jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for associate software engineer intern in Boston, MA is $27.61, according to ZipRecruiter salary data. Most workers in this role earn between $22.45 and $31.35 per hour, depending on experience, location, and employer.

What does an associate software engineer intern do?

An Associate Software Engineer Intern is typically a student or recent graduate who works with a software engineering team to gain practical experience. Their responsibilities often include writing and testing code, debugging software, assisting with the development of new features, and collaborating with other team members on various projects. Interns are mentored by experienced engineers and are given opportunities to learn about software development processes and tools. This role helps interns build foundational skills and explore potential career paths in software engineering.

What types of projects and responsibilities can an associate software engineer intern expect during their internship?

As an Associate Software Engineer Intern, you can expect to work on real-world projects that contribute to the company's products or services. Typical responsibilities include writing and testing code, participating in code reviews, fixing bugs, and collaborating with other engineers through agile development practices. Interns often have opportunities to attend team meetings, present their work, and receive mentorship from experienced developers. This hands-on experience not only builds technical skills but also helps you understand professional workflows and teamwork within a software engineering environment.

What are the key skills and qualifications needed to thrive as an associate software engineer intern, and why are they important?

To thrive as an Associate Software Engineer Intern, you need a solid understanding of programming languages (such as Java, Python, or C++), computer science fundamentals, and often enrollment in or completion of a relevant degree program. Familiarity with version control systems like Git, integrated development environments (IDEs), and collaboration tools such as Jira or Slack is typical. Strong problem-solving, eagerness to learn, and effective communication make candidates stand out in collaborative and fast-paced environments. These skills are crucial for contributing to real-world projects, adapting to team workflows, and building a foundation for a successful software engineering career.

What is the difference between Associate Software Engineer Intern vs Software Engineer Intern?

AspectAssociate Software Engineer InternSoftware Engineer Intern
Required CredentialsTypically pursuing or recently completed a bachelor's degree in CS or related fieldSame as Associate; often students or recent grads
Work EnvironmentEntry-level, learning-focused, supervised internshipSimilar, often in tech companies' internship programs
Employer & Industry UsageUsed across tech companies for early-career rolesCommonly used interchangeably with Associate Software Engineer Intern

The main difference between Associate Software Engineer Intern and Software Engineer Intern is minimal; both are entry-level internship roles aimed at students or recent graduates gaining industry experience. The titles are often used interchangeably, with slight variations depending on company terminology.

What are popular job titles related to Associate Software Engineer Intern jobs in Boston, MA?

For Associate Software Engineer Intern jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Associate Software Engineer Intern jobs in Boston, MA look for?

The top searched job categories for Associate Software Engineer Intern jobs in Boston, MA are:

Infographic showing various Associate Software Engineer Intern job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $57,435 per year, or $27.6 per hour.

Agentic AI Intern

DataRobot, Inc.

Boston, MA โ€ข On-site

Internship

Medical, Dental, Vision

Re-posted 8 days ago


Job description

Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.
Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real team, working on real problems, and is expected to deliver meaningful output over the course of the program. This is how we identify and develop the next generation of AI practitioners who will carry DataRobot's mission forward.
As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high-impact, process-heavy work that is ripe for AI automation. Current focus areas include CVE resolution workflows (triage, impact assessment, dependency upgrades, and verification) and support ticket lifecycle management (categorization, diagnosis, routing, status updates, and resolution documentation). You will design and build agentic AI solutions that reduce manual toil and free engineers to focus on higher-order problems. This is a fully remote position. The program runs approximately 6 months.
WHAT YOU'LL DO:
  • Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management
  • Use the DataRobot platform - including AutoML, GenAI tooling, and MLOps capabilities - to design, evaluate, and ship solutions
  • Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria
  • Work autonomously on defined project deliverables while staying aligned with your mentor and team
  • Communicate progress through structured weekly updates and a final Intern Showcase presentation to DataRobot leadership
  • Collaborate across engineering, product, and go-to-market teams to understand context and deliver work that sticks
  • Document your work thoroughly so findings and solutions can be handed off and extended after the program

WHAT YOU'LL LEARN:
Agentic AI & Autonomous Systems
  • Design and implementation of multi-agent systems and autonomous reasoning loops
  • Agent evaluation frameworks, tool-use reliability, and safety guardrails for autonomous agents
  • Advanced orchestration using frameworks like LangGraph, CrewAI, or AutoGen for enterprise automation

Platform & Product
  • End-to-end proficiency on the DataRobot platform: GUI, Python/R clients, and API integrations
  • How to automate the ML lifecycle from data ingestion through deployment and monitoring

Business Acumen & Use Case Development
  • How to identify and size AI opportunities within real engineering workflows
  • How to communicate technical findings to both technical and non-technical stakeholders

Communication & Collaboration
  • Async-first collaboration using Slack, Confluence, and structured project updates
  • How to present technical work clearly to senior leaders at a live Intern Showcase

PROGRAM STRUCTURE:
Phase I - Month 1: Onboarding & Foundation
Get oriented to DataRobot's culture, tools, and platform. Complete structured training, co-create your Individual Learning Plan (ILP) with your mentor, and begin shadowing team members on real work.
Phase II - Months 2-3: Core Project Execution
Take ownership of a defined project scoped by your team. Work moves from guided to increasingly independent as you demonstrate competency. Expect weekly feedback from your mentor and regular touchpoints with your Buddy.
Phase III - Months 4-6: Synthesis & Showcase
Finalize your deliverables, document your findings, and prepare for the Intern Showcase - a live presentation to DataRobot leaders and peers. Optional rotations or cross-functional exposure may be available based on performance and team need.
WHAT WE'RE LOOKING FOR:
Required:
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field
  • Working proficiency in Python (pandas, numpy) and comfort with data manipulation and scripting
  • Foundational understanding of machine learning concepts - supervised learning, model evaluation, feature engineering
  • Deep passion for autonomous agents - you have experience building systems that "do" rather than just "chat"
  • Strong written and verbal communication skills; ability to explain technical work clearly to mixed audiences
  • Ability to work independently, manage ambiguity, and escalate blockers appropriately

Nice to Have:
  • Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI, LlamaIndex)
  • Familiarity with the DataRobot platform or other MLOps/AutoML tools
  • Experience with API development (FastAPI, Flask) or containerization (Docker)
  • Prior internship, research, or project experience applying ML to real-world problems
  • Experience with or interest in DevSecOps concepts, CVE triage, or support engineering workflows

The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:
  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
Use of Artificial Intelligence in Our Hiring Process
DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.