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Ml Intern Jobs (NOW HIRING)

AI/ML Intern

Austin, TX ยท On-site

$14.75 - $19.75/hr

ML Fundamentals - Solid understanding of machine learning concepts through coursework or personal projects * Supervised/unsupervised learning * Model evaluation and validation * Basic understanding ...

AI/ML Intern (Summer 2027)

Reston, VA ยท Hybrid

$21 - $30/hr

AI/ML Intern, #1092 Clearance: US citizenship required. Must be able to obtain a public trust clearance or higher as required Dev Technology Group seeks talented rising juniors and seniors for our ...

AI/ML Intern (Summer 2027)

Reston, VA ยท Hybrid

$21 - $30/hr

AI/ML Intern, #1092 Clearance: US citizenship required. Must be able to obtain a public trust clearance or higher as required Dev Technology Group seeks talented rising juniors and seniors for our ...

AI/ML Intern (Summer 2027)

Reston, VA ยท On-site

$21 - $30/hr

AI/ML Intern, #1092 Clearance: US citizenship required. Must be able to obtain a public trust clearance or higher as required Dev Technology Group seeks talented rising juniors and seniors for our ...

AI/ML Intern - Radiation Oncology

Rochester, MN ยท On-site

$15.25 - $19.75/hr

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources, digital, etc.). Interns will learn the data science lifecycle including data acquisition ...

AI/ML Intern - Radiation Oncology

Rochester, MN ยท On-site

$14.75 - $19/hr

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources, digital, etc.). Interns will learn the data science lifecycle including data acquisition ...

Intern - CFO - IT

Foster City, CA ยท On-site

$17.50 - $23.25/hr

As an AI/ML intern in Enterprise Data & Analytics, you will contribute to high-impact projects in Research & Development and PDM/Tech Ops. You'll gain hands-on experience with advanced analytics ...

New

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

IT Internship - Irving, TX (Summer 2027)

Irving, TX ยท On-site

$14.50 - $19.25/hr

The AI/ML Intern will support the development, testing, and deployment of AI-driven solutions that improve productivity, automate business processes, and enhance decision-making across Builders ...

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

This role requires a highly motivated and detail-oriented AI/ML Modeler & Developer to join FNB ... Intern Business Unit: Multiple Reports To: Varies Based on Assignment Position Overview: As an ...

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Ml Intern information

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How much do ml intern jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ml 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 intern?

ML Interns, or Machine Learning Interns, are students or recent graduates who assist with machine learning projects within an organization. They typically work under the guidance of experienced data scientists or machine learning engineers to help develop, test, and improve algorithms and models. Their tasks may include data preprocessing, model training, performance evaluation, and documentation. ML Interns gain practical experience and exposure to real-world applications of machine learning, helping bridge the gap between academic learning and industry practice.

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

To thrive as an ML Intern, you need a strong understanding of machine learning fundamentals, programming skills in Python or R, and a background in mathematics or computer science. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Curiosity, problem-solving abilities, and effective communication help you learn quickly and collaborate with experienced team members. These skills enable you to contribute to real-world projects, adapt to evolving technologies, and grow within the field of machine learning.

What kinds of projects do ML interns typically work on, and how can they make the most impact during their internship?

ML Interns often contribute to data preprocessing, model development, and performance evaluation tasks under the guidance of senior data scientists or engineers. Projects may include building prototypes, improving existing algorithms, or supporting data analysis for real-world applications. To make the most impact, interns should proactively seek feedback, document their work clearly, and communicate progress with their team. Engaging in code reviews and collaborating across departments can also help interns gain valuable experience and demonstrate their initiative.
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What cities are hiring for Ml Intern jobs?

Cities with the most Ml Intern job openings:

What states have the most Ml Intern jobs?

States with the most job openings for Ml Intern jobs include:

Infographic showing various Ml Intern job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

AI/ML Intern

Austin, TX โ€ข On-site

$14.75 - $19.75/hr

Other

Posted 15 days ago


Job description

Required Skills

Core (Must Have)

  • Python - Strong programming skills, comfortable writing clean code beyond notebooks
  • ML Fundamentals - Solid understanding of machine learning concepts through coursework or personal projects
    • Supervised/unsupervised learning
    • Model evaluation and validation
    • Basic understanding of neural networks
  • Data Manipulation - Experience with Pandas, NumPy, or similar libraries
  • Version Control - Git basics (commit, push, pull, branches)
  • Problem Solving - Can debug issues and search for solutions independently
  • Communication - Can explain technical concepts clearly

At Least One of These ML Areas

  • NLP/LLMs: Experience with transformers, text processing, or language models (even if just through projects)
  • Time Series: Forecasting, sequential data, or time-based analysis
  • Recommender Systems: Collaborative filtering or ranking (through projects/coursework)
  • Computer Vision: Image classification, object detection, or CNN projects
  • Classical ML: Strong foundation in scikit-learn, feature engineering, model selection

Working Style

  • Self-starter - You don't wait to be told what to do; you ask questions and take initiative
  • Fast learner - Comfortable picking up new tools and technologies quickly
  • CLI-comfortable - Not afraid of the terminal (we can teach you more advanced usage)
  • Curious - Genuinely interested in how things work under the hood
  • Collaborative - Can work with a team and ask for help when stuck

Nice to Have

  • Cloud Experience: Any exposure to AWS, Azure, Google Cloud Platform, or OCI
  • Docker/Containers: Basic understanding of containerization
  • SQL: Database querying experience
  • CI/CD: Familiarity with GitHub Actions, Azure DevOps, or Jenkins
  • MLOps Tools: Exposure to MLflow, Weights & Biases, or Airflow
  • Bash/PowerShell: Basic scripting skills
  • Deep Learning Frameworks: PyTorch or TensorFlow experience
  • Kaggle Competitions: Participated in ML competitions
  • Open Source: Contributions to projects or active GitHub profile
  • Additional Languages: Any experience with Go, Rust, or JavaScript