ZipRecruiter

Log In

1

Machine Learning Ai Intern Jobs (NOW HIRING)

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 ... Foundational knowledge of machine learning concepts and data analysis. * Experience with Python ...

Neighborly

AI Internship

Irving, TX · On-site

As a AI Intern on the Technology team, a typical day for you will include: * Assist in developing, testing, and deploying AI and machine learning solutions. * Analyze and prepare data for model ...

SWBC

AI Intern

San Antonio, TX

$13.50 - $18/hr

... machine learningsolutions. This internship will focus on building AI-powered applications and ... As an SWBC intern, you will be learning on the job in real-time from talented professionals within ...

Steel Partners

AI Intern

$15.25 - $20.75/hr

Together, these pillars create a culture focused on long-term success, accountability, learning ... The Role The Artificial Intelligence (AI) Intern will be embedded across Steel Partners' corporate ...

PLS

AI Intern

Chicago, IL · On-site

$22 - $30/hr

The AI Intern will identify, develop, and improve artificial intelligence and machine learning solutions that support company goals. This role is ideal for a student or recent graduate who is eager ...

next page

Showing results 1-20

All JobsMachine Learning Ai Intern Jobs

Machine Learning Ai Intern information

See salary details

$25.5K

$42.6K

$88K

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

As of Jul 12, 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 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 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 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

Applied Machine Learning Intern

WaveWorks Technologies Inc

Seattle, WA • On-site

Full-time

Re-posted 16 days ago

Job description

Applied Machine Learning Intern
WaveWorks is building applied AI systems for real-world industrial environments. We are seeking a hands-on Applied Machine Learning Intern to work directly on live deployment data, develop modeling approaches, and take ownership of analysis for an active site.
RESPONSIBILITIES
  • Process, clean, and structure large-scale audio/time-series datasets
  • Align data with ground truth and validate data quality
  • Develop and evaluate modeling approaches for predictive maintenance
  • Design and run structured experiments, analyze results, and document findings
  • Improve data workflows and evaluation pipelines

REQUIRED QUALIFICATIONS
  • Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related field
  • Strong Python skills
  • Experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
  • Comfortable working with real-world, noisy datasets
  • Strong analytical and documentation skills

PREFERRED QUALIFICATIONS
  • MS or PhD candidate in a relevant technical field
  • Experience with audio processing or time-series feature engineering
  • Familiarity with anomaly detection
  • Exposure to signal processing concepts (FFT, spectrograms, filtering)
  • Experience designing and evaluating structured ML experiments
  • Self-driven and comfortable operating in an early-stage environment

WaveWorks is committed to a friendly and welcoming working environment. WaveWorks does not discriminate based on race, gender, age, religious affiliation, or any other legally protected status.
WaveWorks is located in downtown Seattle, Washington.

Apply