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Entrylevel Internship Ai Ml Jobs (NOW HIRING)

Internship (Full-Time / Part-Time) Duration: 3-6 Months (Extendable) About the Role We are looking for a motivated AI/ML Engineer Intern to join our engineering team. You will work on developing ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

The AI/ML Engineer will uncover meaningful data patterns and transform them into actionable ... Preferred : • Internship or project experience in AI engineering, machine learning, or a related ...

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 ...

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 ...

AI/ML Programmer

Lexington, MA

$29.75 - $40.75/hr

Internship Opportunities The AI Technology and Systems Group is seeking motivated applicants that can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may ...

AI/ML Programmer

Lexington, MA · On-site

$29.75 - $40.75/hr

Internship Opportunities The AI Technology and Systems Group is seeking motivated applicants that can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may ...

AI/ML Programmer

Lexington, MA

$29.75 - $40.75/hr

Internship Opportunities The AI Technology and Systems Group is seeking motivated applicants that can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may ...

... technical role (internship and academic project experience considered) Technical Skills • ... AI/ML concepts, including natural language processing (NLP), large language models (LLMs ...

AI/ML Engineer

Dayton, OH · On-site

$90K - $110K/yr

This internship will provide hands-on experience supporting our AI, Automation, and Augmentation ... Support training AI/ML models and tune their hyperparameters for a given dataset and algorithm ...

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How much do entrylevel internship ai ml jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for entrylevel internship ai ml in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.
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What cities are hiring for Entrylevel Internship Ai Ml jobs? Cities with the most Entrylevel Internship Ai Ml job openings:
What states have the most Entrylevel Internship Ai Ml jobs? States with the most job openings for Entrylevel Internship Ai Ml jobs include:
Infographic showing various Entrylevel Internship Ai Ml job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

AI/ML Engineer Intern

Aivra Health LLC

Austin, TX • On-site

Other

Medical

Posted 20 days ago


Job description

AI/ML Engineer Intern

Location: New York, NY, USA (Hybrid/On-site/Remote)

Job Type: Internship (Full-Time / Part-Time)

Duration: 3–6 Months (Extendable)

About the Role

We are looking for a motivated AI/ML Engineer Intern to join our engineering team. You will work on developing, training, and deploying machine learning models while collaborating with experienced engineers on real-world AI applications. This internship offers hands-on experience in data processing, model development, and AI-driven software solutions.

Key Responsibilities
  • Assist in developing and deploying Machine Learning models.
  • Collect, clean, and preprocess datasets for model training.
  • Train, evaluate, and optimize ML models.
  • Work with supervised and unsupervised learning algorithms.
  • Develop and integrate AI solutions into web applications.
  • Build and maintain data pipelines.
  • Collaborate with Software Engineers and Data Scientists.
  • Document experiments, model performance, and technical findings.
Required Qualifications
  • Pursuing a Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Knowledge of Python programming.
  • Understanding of Machine Learning fundamentals.
  • Familiarity with Data Structures & Algorithms.
  • Knowledge of statistics and probability.
  • Basic understanding of SQL.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
Preferred Skills
  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • OpenCV
  • NLP fundamentals
  • Deep Learning
  • Computer Vision
  • Generative AI
  • AWS, Azure, or Google Cloud
  • Git & GitHub
What You''ll Gain
  • Hands-on experience building AI solutions.
  • Mentorship from AI/ML professionals.
  • Exposure to production ML workflows.
  • Opportunity for a full-time AI/ML Engineer role based on performance.
  • Professional networking opportunities.
  • Internship certificate and recommendation letter (performance-based).
Eligibility
  • Students graduating in 2026 or 2027 are encouraged to apply.
  • GPA of 3.0/4.0 or above preferred but not required.
  • Must be authorized to work in the United States or require sponsorship, if applicable.
Benefits
  • Flexible work schedule
  • Mentorship program
  • Learning & development opportunities
  • Networking events
  • Paid holidays (as per company policy)
  • Potential Pre-Placement Offer (PPO)