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Machine Learning Ai Intern Jobs (NOW HIRING)

LAZ Learning A-Z

Machine Learning Intern

We are looking for a summer intern to join our machine learning team. This team focuses on the modelling of unconstrained text to help our educational assessment programs, primarily with transformer ...

By Light Professional IT Services LLC

AI Intern

Orlando, FL · On-site

$13 - $17.50/hr

As an Intern, you will have the opportunity to work on a cutting-edge project that involves ... Familiarity with machine learning or data science concepts and experience with data visualization ...

Metova Federal

AI Intern

Orlando, FL · On-site

$13 - $17.50/hr

As an Intern, you will have the opportunity to work on a cutting-edge project that involves ... Familiarity with machine learning or data science concepts and experience with data visualization ...

Team Velocity

Senior Data Scientist Machine Learning & AI

VA · Remote

$160K - $190K/yr

Senior Data Scientist Machine Learning & AI Remote | Full-Time | $160,000$190,000 Team Velocity is seeking a Senior Data Scientist to develop and deploy machine learning, predictive analytics, and AI ...

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Machine Learning Ai Intern information

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$25.5K

$42.6K

$88K

How much do machine learning ai intern jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning ai intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Intern, and why are they important?

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

What cities are hiring for Machine Learning Ai Intern jobs?

Cities with the most Machine Learning Ai Intern job openings:

What states have the most Machine Learning Ai Intern jobs?

States with the most job openings for Machine Learning Ai Intern jobs include:

Machine Learning Ai Intern jobs near you

Staff Machine Learning/AI Engineer

Protingent

Hillsborough, CA • On-site

$297K/yr

Full-time

Re-posted 3 days ago

Job description


Position Title: Staff Machine Learning Engineer
Position Description: Protingent Staffing has an exciting contract opportunity located in San Francisco, CA or NYC, NY.
Job Responsibilities:
  • Prototype, develop and iterate on new product areas for our client giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions
  • Productionize and launch core technologies to power AI features on top of a wealth of operational sustainability data
  • Collaborate with product and other AI engineering teams to set product and technical strategy
  • Build evals, fine tune, create agent harnesses to build reliable AI powered systems
  • Keep up with developments and state-of-the-art in AI to determine what is relevant
  • Write performant, well-crafted, tested, and maintainable code across our technical stack

Job Qualifications:
  • 8+ years of experience in Machine Learning / AI engineering
  • Experience building products using LLMs, embeddings and other ML technologies
  • Full lifecycle experience of building, deploying and monitoring products that leverage LLMs, embeddings or other ML technologies
  • Experience leading cross functional teams in an innovative fast moving environment
  • A strong foundational understanding of machine learning models and practice, including model evaluation and performance
  • Strong full-stack development skills

Job Details:
  • Job Type: Direct Hire
  • Location: San Francisco, CA or NYC, NY.
  • Salary Range: $247-297K

About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation - from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.
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