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Ml Ai Intern Jobs (NOW HIRING)

DataRobot, Inc.

Agentic AI Intern

Boston, MA · On-site

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria

Phytogenx Incorporated

Operations AI Intern

Morgantown, PA · On-site

$14.75 - $19.50/hr

We are seeking a motivated AI Intern to support focused artificial intelligence and automation ... Currently pursuing a degree in Computer Science, Data Science, Engineering, AI/ML, Industrial ...

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria

DataRobot

Agentic AI Intern

Seattle, WA · Remote

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria

DataRobot

Agentic AI Intern

Boston, MA · Remote

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria

DataRobot

Agentic AI Intern

Seattle, WA · Remote

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria

DataRobot

Agentic AI Intern

Boston, MA · Remote

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Translate ambiguous team pain points into well-scoped AI/ML problems with defined success criteria

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.

Novocure

AI Intern - IP Operations

Philadelphia, PA · On-site +1

$25/hr

AI Intern - IP Operations Hybrid (Remote Considered) | Full-Time Internship | Wayne, PA At Novocure ... Exposure to cutting-edge tools and frameworks in AI/ML * Opportunity to work on impactful projects ...

Novocure

AI Intern - IP Operations

Boston, MA · On-site +1

$25/hr

AI Intern - IP Operations Hybrid (Remote Considered) | Full-Time Internship | Wayne, PA At Novocure ... Exposure to cutting-edge tools and frameworks in AI/ML * Opportunity to work on impactful projects ...

Novocure

AI Intern - IP Operations

Manhattan, NY · On-site +1

$25/hr

AI Intern - IP Operations Hybrid (Remote Considered) | Full-Time Internship | Wayne, PA At Novocure ... Exposure to cutting-edge tools and frameworks in AI/ML * Opportunity to work on impactful projects ...

Novocure

AI Intern - IP Operations

Wayne, PA · On-site +1

$25/hr

AI Intern - IP Operations Hybrid (Remote Considered) | Full-Time Internship | Wayne, PA At Novocure ... Exposure to cutting-edge tools and frameworks in AI/ML * Opportunity to work on impactful projects ...

Novocure

AI Intern - IP Operations

Boonton, NJ · On-site +1

$25/hr

AI Intern - IP Operations Hybrid (Remote Considered) | Full-Time Internship | Wayne, PA At Novocure ... Exposure to cutting-edge tools and frameworks in AI/ML * Opportunity to work on impactful projects ...

TERRACON

AI Intern

Olathe, KS · On-site +1

$18 - $24.20/hr

You will learn how data and AI/ML technology helps Terracon be a successful engineering company. Responsibilities This position will support the development and implementation of AI use cases by ...

New

Crowe

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Basic ML/AI literacy (training vs inference, knowledge cutoffs, LLM fundamentals) * Prompt ...

New

Crowe LLP

AI Engineering Intern

Chicago, IL

$27 - $42/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Basic ML/AI literacy (training vs inference, knowledge cutoffs, LLM fundamentals) * Prompt ...

New

Crowe LLP

AI Engineering Intern

Chicago, IL · On-site

$17.25 - $22.50/hr

AI Engineering Intern Role Overview The AI Engineering Intern (Intern) supports the design ... Basic ML/AI literacy (training vs inference, knowledge cutoffs, LLM fundamentals) * Prompt ...

New

Samaya AI

ML Research Intern

Mountain View, CA

At Samaya, our product delivers value to one of the most high-stake environments of AI applications ... ML and NLP conferences. The intern will collaborate closely with our team of experienced ...

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Ml Ai Intern information

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How much do ml ai intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ml ai intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an ML AI intern?

ML/AI Interns are students or recent graduates who work under the guidance of experienced machine learning or artificial intelligence professionals. Their main responsibilities include assisting with data collection, cleaning, model development, and testing in various AI projects. They gain hands-on experience with algorithms, programming languages such as Python, and frameworks like TensorFlow or PyTorch. These internships help them build foundational skills and prepare for full-time roles in the field of machine learning and artificial intelligence.

What types of projects do ML AI interns typically work on, and how much independence do they have?

ML/AI Interns often contribute to real-world projects such as building data pipelines, training machine learning models, and performing exploratory data analysis. While interns usually start with well-defined tasks under the supervision of senior engineers or researchers, they are often encouraged to propose ideas, experiment with algorithms, and present insights. The level of independence can grow as interns demonstrate proficiency, allowing them to own small-scale projects or collaborate closely with cross-functional teams. This hands-on experience is invaluable for building practical skills and understanding the end-to-end AI development process.

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

To thrive as an ML/AI Intern, a solid background in mathematics, programming (especially Python), and knowledge of machine learning concepts is essential, typically supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems, as well as experience with data analysis libraries such as Pandas and NumPy, is commonly required. Curiosity, problem-solving skills, and effective communication help interns stand out by enabling them to learn quickly and collaborate with diverse teams. These abilities are crucial for contributing meaningfully to projects, adapting to new challenges, and supporting innovation in the rapidly evolving field of artificial intelligence.

How to get an ML AI internship?

To secure an ML AI internship, candidates should develop strong programming skills in languages like Python, gain experience with machine learning frameworks such as TensorFlow or PyTorch, and build a portfolio of relevant projects. Applying through company career portals, leveraging university connections, and networking in industry events can also improve chances. Relevant coursework, certifications, and a solid understanding of algorithms are beneficial for competitive applicants.
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Ml Ai Intern jobs near you
Infographic showing various Ml Ai Intern job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Agentic AI Intern

DataRobot, Inc.

Boston, MA • On-site

Internship

Medical, Dental, Vision

Re-posted 2 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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