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Ai Ml Engineer Intern Jobs (NOW HIRING)

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 ...

New

AI/ML Engineer Intern

New York, NY ยท On-site

$18.25 - $23.75/hr

What you will do As our ML Engineer Intern, you'll be the technical backbone powering our content ... Fine-tuning and deploying multimodal AI systems using MLOps best practices * Collaborating with ...

As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in ...

AI/ML Engineer Contract Position Seeking AI/ML Engineers with 3-7 years of hands on experience building scalable ML and GenAI solutions. Candidates must have strong healthcare domain exposure (claims ...

AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion) Location: Minneapolis, MN (Remote/hybrid) Role Objective We are seeking a hands-on AI/ML Engineer to ...

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the ...

AI/ML Engineer Location: Texas (Onsite) Employment Type: W2 Only Experience: 15+ Years (Mandatory) Job Summary We are seeking a highly skilled AI/ML Engineer with 15+ years of experience to design ...

New

AI/ML Engineer

Reston, VA ยท On-site

$175K - $220K/yr

Our AI/ML Engineer is the core mission specialist who develops, implements, and deploys innovative AI/ML and LLM-enabled capabilities to solve mission-critical problems. This role combines deep model ...

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate Requirement: Local to East Coast only Client is seeking an AI/ML Engineer to design and deliver end ...

AI/ML Engineer (Python) Location: Addison, TX | On-site, 5 days/week Type: Full-time About the Role We are seeking a hands-on AI/ML Engineer to define how AI is built, evaluated, and operated across ...

As an AI/ML Engineer, your duties will include the following, but are not limited to: * Design, develop, and deploy machine learning models to support mission-critical objectives. * Analyze and ...

As an AI/ML Engineer, your duties will include the following, but are not limited to: * Design, develop, and deploy machine learning models to support mission-critical objectives. * Analyze and ...

We are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail ...

AI/ML engineer

Indianapolis, IN ยท On-site

$100K - $120K/yr

Job Summary : eTeam is a company focused on AI and machine learning solutions, and they are seeking an AI/ML Engineer to lead technical initiatives. The role involves designing and optimizing machine ...

AI / ML Engineer

Miami, FL ยท On-site

$95K - $150K/yr

AI / ML Engineer We partner withcompanies pushing the boundaries of technology - and we'relooking for AI / ML Engineers who are passionate about buildingintelligent systems that solve real-world ...

We are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail ...

AI/ML Engineer (Local candidate required) Job Location: Charlotte, NC Job Type: Fulltime Roles & Responsibilities The AI Agent & Data/ML Engineer will design, develop, and operationalize AI agents ...

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Ai Ml Engineer Intern information

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How much do ai ml engineer intern jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for ai ml engineer intern 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.

What are the key skills and qualifications needed to thrive as an AI/ML Engineer Intern, and why are they important?

To thrive as an AI/ML Engineer Intern, you generally need a solid foundation in computer science, mathematics (especially linear algebra and statistics), and experience with machine learning concepts, often supported by coursework or project experience. Familiarity with programming languages like Python, libraries such as TensorFlow or PyTorch, and version control systems like Git is typically required. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative and fast-evolving environments. These skills and qualities are crucial for contributing to real-world AI/ML projects and adapting to new challenges in the field.

What does an AI/ML Engineer Intern do?

An AI/ML Engineer Intern assists in building, testing, and improving machine learning models and artificial intelligence systems under the supervision of senior engineers. Their tasks often include data preprocessing, exploring datasets, implementing algorithms, and helping integrate AI solutions into existing applications. Interns may also collaborate on research, contribute to documentation, and support the overall development workflow. This role provides hands-on experience in coding, model evaluation, and understanding real-world challenges in AI/ML projects.

What are some common challenges AI/ML Engineer Interns face during their internship, and how can they overcome them?

AI/ML Engineer Interns often encounter challenges such as understanding large, complex datasets, adapting to new frameworks or tools quickly, and translating theoretical concepts into practical solutions. It's common to feel overwhelmed by the fast-paced environment and the need to collaborate with cross-functional teams. To overcome these challenges, interns should proactively seek guidance from mentors, break down tasks into manageable steps, and participate in regular code reviews to learn best practices. Staying curious and open to feedback will help interns grow their technical and teamwork skills throughout the internship.

What is the difference between Ai Ml Engineer Intern vs Data Scientist Intern?

AspectAi Ml Engineer InternData Scientist Intern
Required SkillsProgramming (Python, TensorFlow), Machine Learning, Data AnalysisStatistics, Data Analysis, Programming (Python, R)
Work EnvironmentDevelopment, Model Building, Algorithm ImplementationData Exploration, Statistical Modeling, Data Visualization
Industry UsageAI/ML product development, research, tech companiesBusiness analytics, research, tech and finance sectors

Both roles often require programming skills and familiarity with data analysis tools. An Ai Ml Engineer Intern focuses more on developing machine learning models and algorithms, while a Data Scientist Intern emphasizes data exploration and statistical analysis. The choice depends on your interest in model development versus data insights.

More about Ai Ml Engineer Intern jobs
What cities are hiring for Ai Ml Engineer Intern jobs? Cities with the most Ai Ml Engineer Intern job openings:
What are the most commonly searched types of Ai Ml Engineer jobs? The most popular types of Ai Ml Engineer jobs are:
What states have the most Ai Ml Engineer Intern jobs? States with the most job openings for Ai Ml Engineer Intern jobs include:
What job categories do people searching Ai Ml Engineer Intern jobs look for? The top searched job categories for Ai Ml Engineer Intern jobs are:
Infographic showing various Ai Ml Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% 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 โ€ข On-site

Other

Medical

Posted 6 days ago

New


Job description

AI/ML Engineer Intern

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

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

Duration: 3โ€“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)