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Scikit Learn Intern Jobs (NOW HIRING)

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Thermal Engineering R&D Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

Engineering Intern We are seeking a motivated engineering intern to support the development of an ... PyTorch, or Scikit-learn to improve thermal monitoring and prediction. * Data Engineering ...

Advantest

Thermal Engineering R&D Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

The intern will focus primarily on machine learning model development and evaluation, data analysis ... PyTorch, or Scikit-learn to improve thermal monitoring and prediction. * Data Engineering ...

Advantest

Thermal Engineering R&D Intern

San Jose, CA

$19.75 - $25.50/hr

We are seeking a motivated engineering intern to support the development of an AI/ML-driven system ... PyTorch, or Scikit-learn to improve thermal monitoring and prediction. * Data Engineering ...

Advantest America

Thermal Engineering R&D Intern

San Jose, CA · On-site

$19.75 - $25.50/hr

We are seeking a motivated engineering intern to support the development of an AI/ML-driven system ... PyTorch, or Scikit-learn to improve thermal monitoring and prediction. * Data Engineering ...

Resolve Tech Solutions

AI & ML Intern

Addison, TX · On-site

AI & ML Intern Reporting to: Director, AI Strategy & Architecture Position Summary The AI & ML ... or scikit-learn * Experience with LangChain, Crew AI, Amazon Bedrock, Google Vertex AI or Azure ...

Resolve Tech Solutions

AI & ML Intern

Addison, TX

AI & ML Intern Reporting to: Director, AI Strategy & Architecture Position Summary The AI & ML ... or scikit-learn * Experience with LangChain, Crew AI, Amazon Bedrock, Google Vertex AI or Azure ...

Resolve Tech Solutions

AI & ML Intern

Addison, TX · On-site

AI & ML Intern Reporting to: Director, AI Strategy & Architecture Position Summary The AI & ML ... or scikit-learn * Experience with LangChain, Crew AI, Amazon Bedrock, Google Vertex AI or Azure ...

Athena

Role Overview The Data Science Intern will help us to understand the performance of Executive ... TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models. * Prior exposure ...

Athenago

Data Science Intern

Wilmington, DE

Role Overview The Data Science Intern will help us to understand the performance of Executive ... TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models. * Prior exposure ...

Athena LLC

Role Overview The Data Science Intern will help us to understand the performance of Executive ... TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models. * Prior exposure ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data

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How much do scikit learn intern jobs pay per hour?

As of May 28, 2026, the average hourly pay for scikit learn intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Scikit Learn Intern, and why are they important?

To thrive as a Scikit Learn Intern, you need a solid understanding of machine learning concepts, Python programming proficiency, and experience with data analysis libraries such as NumPy and Pandas. Familiarity with the Scikit-learn library, Jupyter Notebooks, and version control systems like Git is typically required. Curiosity, strong problem-solving abilities, and effective communication skills help interns collaborate and learn quickly in dynamic teams. These skills and qualities are crucial for contributing to real-world data science projects and developing practical machine learning solutions.

What types of projects can a Scikit Learn Intern expect to work on during their internship?

As a Scikit Learn Intern, you can expect to work on projects involving the development, testing, and improvement of machine learning algorithms and tools within the Scikit-learn ecosystem. Typical tasks may include contributing to open-source code, writing unit tests, improving documentation, and experimenting with new features or enhancements to existing modules. Interns often collaborate closely with experienced data scientists and software engineers, gaining hands-on experience with real-world machine learning workflows and open-source development practices. This role provides an excellent opportunity to deepen your understanding of both machine learning concepts and collaborative software development.

What does a Scikit Learn Intern do?

A Scikit Learn Intern typically assists with machine learning projects using the Scikit-learn library in Python. Their responsibilities may include data preprocessing, building and evaluating models, conducting research on algorithms, and collaborating with data scientists or engineers. Interns also help in documenting code, running experiments, and sometimes contributing to open-source projects. This role provides hands-on experience in applying machine learning techniques to real-world problems and helps build foundational skills for a career in data science.

What is the difference between Scikit Learn Intern vs Data Science Intern?

AspectScikit Learn InternData Science Intern
Required SkillsKnowledge of Python, Scikit-learn, basic machine learning conceptsPython, statistics, data analysis, machine learning
Work EnvironmentTech companies, research labs, startupsTech firms, consulting agencies, research institutions
Industry UsageFocus on machine learning model development using Scikit-learnBroader data analysis, visualization, and modeling tasks
Common Search IntentComparing internship roles involving Scikit-learn skillsUnderstanding data science internship responsibilities

In summary, a Scikit Learn Intern typically focuses on developing machine learning models using Scikit-learn, requiring knowledge of Python and ML basics. A Data Science Intern has a broader role, including data analysis, visualization, and applying various tools beyond Scikit-learn. Both roles are common in tech and research environments, but their focus and skill requirements differ slightly.

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Scikit Learn Intern jobs near you

Thermal Engineering R&D Intern

Advantest

San Jose, CA • On-site

$19.75 - $25.50/hr

Internship

This job post has expired today. Applications are no longer accepted.

Job description

Engineering Intern

We are seeking a motivated engineering intern to support the development of an AI/ML-driven system for thermal monitoring, prediction, and anomaly detection during semi-conductor tests. The intern will focus primarily on machine learning model development and evaluation, data analysis, model experimentation, and software implementation, working with thermal system telemetry data to identify optimal modeling approaches.

Responsibilities

  • Model Development & Prototyping: Research, develop, and test ML models (Regression, Time-Series, Anomaly Detection) using Python frameworks like TensorFlow, PyTorch, or Scikit-learn to improve thermal monitoring and prediction.
  • Data Engineering & Pipeline Support: Build and automate data pipelines, including preprocessing, feature engineering, and labeling of thermal telemetry data for model training.
  • Validation & Benchmarking: Conduct simulation-based validation and performance benchmarking to compare algorithms, ensuring model accuracy against real-world measured system behavior.
  • Telemetry Analysis & Visualization: Analyze and visualize large datasets to identify patterns and performance anomalies, helping refine predictive capabilities.
  • Hardware & Systems Integration: Collaborate with cross-functional engineering teams to acquire system logs, configure test setups, and integrate ML models into the broader software architecture.
  • Documentation & Reporting: Maintain clear documentation of model assumptions, training methodologies, and results to support future model selection and deployment.

Requirements & Qualifications

  • Education: Currently pursuing a degree in Computer Science, Data Science, ME, EE, or a related field, with relevant coursework in AI/ML.
  • Technical Proficiency: Strong Python skills, specifically using the data science stack (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch) and visualization tools like Matplotlib.
  • Domain Knowledge: Familiarity with time-series analysis, anomaly detection, or predictive modeling; an understanding of thermal behavior, physical sensors or control systems is a plus.
  • Data Workflow: Experience managing scientific computing workflows within Jupyter environments, including data cleaning and performance evaluation.
  • Professional Attributes: A curious, analytical mindset with the ability to collaborate across engineering teams (Software, Thermal, Systems) and clearly document technical findings.

Preferred Skills

  • Strong analytical and problem-solving mindset with the ability to work with data and evaluate model performance.

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