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Ai Developer Intern Jobs in Boston, MA (NOW HIRING)

DataRobot, Inc.

Agentic AI Intern

Boston, MA · On-site

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 ...

DataRobot

Agentic AI Intern

Boston, MA · Remote

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 ...

DataRobot

Agentic AI Intern

Boston, MA · Remote

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 ...

HyperLight

Software Engineer Intern

Cambridge, MA

$25 - $32/hr

Software Engineer Intern HyperLight is at the forefront of the commercialization of thin-film ... across AI/datacom infrastructure, hyperscale computing, quantum computing, sensing, and beyond.

Formlabs

AI Software Intern (Fall 2026)

Somerville, MA · On-site

We're a team of hands-on builders, engineers, and innovators reinventing how the world makes ... As an AI Software Intern , you will apply machine learning and deep learning techniques to solve ...

Microsoft

Research Intern - Self-Improving AI

Cambridge, MA · On-site

$6.7K - $13K/mo

... and engineers, who pursue innovation in a range of scientific and technical disciplines to help ... AI) group at Microsoft Research NYC is looking for a Research Intern candidate with a background in ...

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All JobsAi Developer Intern JobsAi Developer Intern Jobs in Boston, MA

Ai Developer Intern information

See Boston, MA salary details

$12

$24

$42

How much do ai developer intern jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for ai developer intern in Boston, MA is $24.87, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $26.39 per hour, depending on experience, location, and employer.

What are AI Developer Interns?

AI Developer Interns are students or recent graduates who assist in developing artificial intelligence solutions under the supervision of experienced engineers or data scientists. Their responsibilities often include data preprocessing, building and testing machine learning models, writing code, and participating in research or development projects. This internship provides hands-on experience with AI technologies and tools, helping interns gain practical skills for a career in artificial intelligence. Interns typically work with programming languages like Python, and frameworks such as TensorFlow or PyTorch.

What types of projects and responsibilities can an AI Developer Intern typically expect during their internship?

As an AI Developer Intern, you can expect to work on a range of projects such as building prototypes, supporting data pre-processing, and assisting with the development and testing of machine learning models. Interns often collaborate closely with data scientists, engineers, and product teams to integrate AI solutions into real-world applications. You may also be responsible for researching new algorithms, participating in code reviews, and presenting your findings to the team. This hands-on experience provides valuable exposure to the full AI development lifecycle and enhances your technical and teamwork skills.

What are the key skills and qualifications needed to thrive as an AI Developer Intern, and why are they important?

To thrive as an AI Developer Intern, you need a foundational knowledge of programming (especially Python), mathematics, and machine learning concepts, often supported by relevant coursework or project experience. Familiarity with tools like TensorFlow, PyTorch, Jupyter notebooks, and version control systems such as Git is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in dynamic team environments. These skills are crucial for successfully contributing to AI projects and growing technical expertise in a fast-evolving field.

What is the difference between Ai Developer Intern vs Data Scientist Intern?

AspectAi Developer InternData Scientist Intern
Required CredentialsBasic programming skills, coursework in AI/ML, possibly some certificationsStatistics, programming, data analysis coursework, internships
Work EnvironmentTech companies, startups, research labs focusing on AI projectsData analysis teams, research groups, analytics departments
Employer & Industry UsageAI-focused companies, tech giants, startups developing AI productsFinance, healthcare, marketing, and tech firms analyzing data
Search & Comparison IntentUnderstanding roles in AI development, entry-level AI positionsExploring data analysis roles, entry-level data science positions

While both roles are entry-level and involve working with data and algorithms, an Ai Developer Intern primarily focuses on developing AI models and algorithms, whereas a Data Scientist Intern emphasizes analyzing data to extract insights. The choice depends on your interest in building AI systems versus analyzing data to inform decisions.

What are the most commonly searched types of Ai Developer jobs in Boston, MA? The most popular types of Ai Developer jobs in Boston, MA are:
What are popular job titles related to Ai Developer Intern jobs in Boston, MA? For Ai Developer Intern jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Ai Developer Intern jobs in Boston, MA look for? The top searched job categories for Ai Developer Intern jobs in Boston, MA are:
What cities near Boston, MA are hiring for Ai Developer Intern jobs? Cities near Boston, MA with the most Ai Developer Intern job openings:
Ai Developer Intern jobs near you
Infographic showing various Ai Developer Intern job openings in Boston, MA as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $51,735 per year, or $24.9 per hour.

Agentic AI Intern

DataRobot, Inc.

Boston, MA • On-site

Internship

Medical, Dental, Vision

Posted 16 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.

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