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Entry Level Internship Ai Ml Jobs (NOW HIRING)

... internships, academic projects, research, GitHub repositories, or professional experience. entry level candidates are welcome , provided they have practical AI/ML projects and strong technical ...

The ideal candidate will have strong hands-on experience with AI/ML technologies through internships, university projects, research, capstone projects, GitHub projects, or professional experience.

The Junior AI/ML Engineer contributes to the design, build, and delivery of end-to-end AI/ML ... Internship or project experience deploying ML in real systems * Exposure to cloud-based data or ML ...

New

The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them ... Internship or project experience in AI engineering, machine learning, or a related field ...

The Junior AI/ML Engineer contributes to the design, build, and delivery of end-to-end AI/ML ... Internship or project experience deploying ML in real systems * Exposure to cloud-based data or ML ...

New

AI/ML Engineer

New York, NY · On-site

$175K/yr

We are seeking an AI/ML Engineer to help develop and deploy machine learning solutions that ... Internship or project experience in AI engineering, machine learning, or related quantitative ...

Are you a problem solver looking for a hands-on internship position with a market-leading company ... About the Role The AI/ML Engineer Intern role provides students with the opportunity to apply ...

Are you a problem solver looking for a hands-on internship position with a market-leading company ... About the Role The AI/ML Engineer Intern role provides students with the opportunity to apply ...

AI/ML Engineer

Lisbon, ME · On-site

$110 - $150/hr

We're looking for an early-career AI/ML Engineer who is excited to grow at the intersection of two ... Personal, academic, or internship projects involving LLM apps, agents, RAG, or backend services.

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Entry Level Internship Ai Ml information

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How much do entry level internship ai ml jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for entry level internship ai ml in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Internship Ai Ml vs Data Analyst Intern?

AspectEntry Level Internship Ai MlData Analyst Intern
Required CredentialsBasic programming, introductory AI/ML knowledge, courseworkStatistics, data analysis, Excel skills, coursework
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing firms
Employer & Industry UsageAI/ML projects, product developmentData reporting, insights, dashboards

Entry Level Internship Ai Ml focuses on foundational AI and machine learning skills, often involving coding and model development, typically in tech environments. Data Analyst Interns concentrate on analyzing data sets to generate insights, usually within business or marketing sectors. While both roles require analytical skills, Ai Ml internships emphasize programming and algorithms, whereas Data Analyst roles focus on data interpretation and visualization.

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Infographic showing various Entry Level Internship Ai Ml 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 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Other

Posted 26 days ago


Job description

AI/ML Engineer

Location: Dallas, TX, United States
Job Type: Full-Time
Experience: 0–3 years
Work Authorization: OPT, H-1B, , or other valid US work authorization

Job Summary

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies.

Responsibilities
  • Develop and implement machine learning and deep learning models.
  • Perform data preprocessing, feature engineering, model training, and evaluation.
  • Build AI/ML solutions using Python and popular ML frameworks.
  • Work with structured and unstructured datasets.
  • Develop and optimize ML pipelines for model training and deployment.
  • Implement predictive models and recommendation/classification systems.
  • Work with Generative AI, LLMs, prompt engineering, or RAG-based applications.
  • Deploy and monitor ML models in cloud or production environments.
  • Collaborate with software engineers and data teams to integrate AI/ML models into applications.
  • Write clean, maintainable, and well-tested Python code.
  • Analyze model performance and improve accuracy, scalability, and efficiency.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow / PyTorch
  • Scikit-learn
  • NumPy
  • Pandas
  • SQL
  • Data Structures & Algorithms
  • Data Preprocessing & Feature Engineering
  • Model Training & Evaluation
  • REST APIs
  • Git
Preferred Skills
  • Generative AI / LLMs
  • Prompt Engineering
  • RAG
  • LangChain / LangGraph
  • NLP or Computer Vision
  • AWS / Azure / Google Cloud Platform
  • Docker
  • Kubernetes
  • MLflow
  • CI/CD
  • MLOps
  • PySpark
Education
  • Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field.
  • Master''s degree preferred.
Ideal Candidate

The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience.

entry level candidates are welcome, provided they have practical AI/ML projects and strong technical fundamentals.