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Llm Engineer Intern Jobs (NOW HIRING)

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... LLM fundamentals Cloud & MLOps * AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... LLM fundamentals Cloud & MLOps * AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... LLM fundamentals Cloud & MLOps * AWS (SageMaker, S3, EC2) * Microsoft Azure ML * Google Cloud AI ...

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

OR · On-site

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering ... Develop and evolve LLM-backed features and agentic workflows, focusing on reliability and real ...

Software Engineer Intern

New York, NY · On-site

$100K - $125K/yr

Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the ... We are looking for Software Engineering Interns to help develop our reliability platform, with a ...

Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the ... We are looking for Software Engineering Interns to help develop our reliability platform, with a ...

LLM Integration: Leverage Large Language Models (LLMs) to architect and implement a pipeline that ... Programming Proficiency: Strong, hands-on programming skills in Python for machine learning ...

As an Intern Gemini Enterprise AI Specialist, you will support the development of next-generation ... AI/LLM Interest: Understanding of how Large Language Models work and interest in prompt engineering.

LLM Integration: Leverage Large Language Models (LLMs) to architect and implement a pipeline that ... Programming Proficiency: Strong, hands-on programming skills in Python for machine learning ...

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Llm Engineer Intern information

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

To thrive as an LLM Engineer Intern, you need a solid background in computer science, machine learning fundamentals, and programming languages such as Python, often supported by coursework or relevant projects. Familiarity with deep learning frameworks (like PyTorch or TensorFlow), version control tools (such as Git), and exposure to model training or prompt engineering is typically expected. Strong analytical thinking, collaboration, and a willingness to learn help interns adapt quickly and contribute effectively to team projects. These skills and qualities are crucial for developing, refining, and deploying large language models in dynamic research or production environments.

What are some typical projects or tasks that an LLM Engineer Intern might work on during their internship?

As an LLM Engineer Intern, you can expect to contribute to tasks such as fine-tuning large language models, evaluating model performance, and assisting with data preprocessing and annotation. You may also help develop or improve prompt engineering strategies, conduct error analysis, and collaborate with senior engineers on integrating language models into real-world applications. Interns often participate in team meetings and code reviews, gaining practical experience and exposure to the latest advancements in natural language processing.

What are LLM Engineer Interns?

LLM Engineer Interns are students or recent graduates who assist in the development, fine-tuning, and deployment of large language models (LLMs) such as GPT or BERT. They work under the supervision of experienced engineers and researchers, contributing to tasks like data preprocessing, model training, evaluation, and prompt engineering. These interns gain hands-on experience with cutting-edge AI technologies while helping teams build and improve natural language processing applications.
More about Llm Engineer Intern jobs
What cities are hiring for Llm Engineer Intern jobs? Cities with the most Llm Engineer Intern job openings:
What are the most commonly searched types of Llm Engineer jobs? The most popular types of Llm Engineer jobs are:
What states have the most Llm Engineer Intern jobs? States with the most job openings for Llm Engineer Intern jobs include:

$28 - $45/hr

Other

Posted 19 days ago


Job description

Machine Learning Engineer Intern

United States
Internship | Full-Time (40 hours/week)
Pay Range: $28 – $45 per hour 
Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome


Position Overview

We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for students or entry level candidates in STEM fields who are passionate about building scalable machine learning models and deploying them into production environments.

The intern will work closely with Data Scientists and Software Engineers to develop, train, evaluate, and deploy machine learning models that solve real-world business problems.


Key Responsibilities
  • Assist in building and training machine learning and deep learning models

  • Perform data preprocessing, feature engineering, and exploratory data analysis (EDA)

  • Implement supervised and unsupervised learning algorithms

  • Optimize model performance using hyperparameter tuning

  • Deploy ML models using REST APIs or cloud services

  • Work on model monitoring, validation, and performance tracking

  • Collaborate with cross-functional teams in Agile/Scrum environment

  • Document experiments and maintain reproducible ML workflows


Required Qualifications
  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field

  • Strong understanding of Machine Learning fundamentals

  • Knowledge of Probability, Statistics, and Linear Algebra

  • Basic understanding of Data Structures and Algorithms


Technical Skills (ATS Keywords)Programming Languages
  • Python

  • R (preferred)

  • Java (basic knowledge)

  • SQL

Machine Learning & AI Frameworks
  • Scikit-learn

  • TensorFlow

  • Keras

  • PyTorch

  • XGBoost

  • LightGBM

Data Processing & Big Data
  • Pandas

  • NumPy

  • Apache Spark

  • PySpark

  • Hadoop

NLP & Advanced Techniques (Preferred)
  • Natural Language Processing (NLP)

  • Computer Vision

  • Deep Learning

  • Transformers

  • LLM fundamentals

Cloud & MLOps
  • AWS (SageMaker, S3, EC2)

  • Microsoft Azure ML

  • Google Cloud AI Platform

  • Docker

  • Kubernetes

  • MLflow

  • CI/CD pipelines

  • Model Deployment & Monitoring

Tools & Concepts
  • Git

  • REST APIs

  • Feature Engineering

  • Model Evaluation Metrics

  • A/B Testing

  • Agile/Scrum


Preferred Qualifications
  • Prior ML internship or academic research experience

  • Experience deploying models into production

  • Knowledge of MLOps practices

  • Strong problem-solving and analytical skills

  • Good communication and teamwork abilities


Compensation & Benefits
  • Competitive hourly compensation ($28 – $45/hr)

  • Hands-on real-world AI/ML project experience

  • Mentorship from senior ML engineers

  • Opportunity for full-time conversion

  • H1B sponsorship support for eligible candidates

  • STEM OPT extension support


Equal Opportunity Employer

We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international students and professionals requiring H1B sponsorship or STEM OPT support.