Machine Learning Intern

InternHunt; Los Angeles (CA); On-site; USD 25,000 - 39,000; Part time

Job summary

InternHunt is seeking a motivated Machine Learning Intern in Los Angeles to support the development of intelligent, data-driven product features. You will work with real-world datasets, experiment with models, and help integrate ML capabilities into applications.

The role emphasizes hands-on data work, model evaluation, and collaboration with engineers and researchers. If you are pursuing or recently completed a degree in CS/AI/DS and enjoy learning new techniques, this internship offers

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field
• Experience with Python and ML libraries
• Familiarity with data processing and model evaluation

Responsibilities

• Develop, test, and evaluate machine learning models
• Prepare, clean, and analyze datasets for experimentation
• Assist with feature engineering and model training
• Measure model performance and help improve model accuracy
• Experiment with classification, prediction, recommendation, or ranking systems
• Work with engineers to integrate machine learning models into applications
• Build scripts and tools to support data processing and model evaluation
• Document experiments, results, and technical findings
• Participate in technical discussions and project planning

Skills

Python

ML concepts

Model evaluation

Data analysis

Pandas

PyTorch

Education

Degree in CS/AI/DS

Tools

Scikit-learn

PyTorch

TensorFlow

Pandas

NumPy

Job description

Compensation:Paid internship; compensation to be discussed based on experience and availability.

About the Role

We are looking for a Machine Learning Intern to join our team and support the development of intelligent, data-driven product features.

In this role, you will work with real-world datasets, experiment with machine learning models, evaluate model performance, and collaborate with engineers to integrate ML capabilities into applications. This internship is ideal for someone who enjoys working with data, algorithms, and modern AI technologies.

Responsibilities

• Develop, test, and evaluate machine learning models
• Prepare, clean, and analyze datasets for experimentation
• Assist with feature engineering and model training
• Measure model performance and help improve model accuracy
• Experiment with classification, prediction, recommendation, or ranking systems
• Work with engineers to integrate machine learning models into applications
• Build scripts and tools to support data processing and model evaluation
• Research new machine learning techniques and frameworks
• Document experiments, results, and technical findings
• Participate in technical discussions and project planning

Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field
• Experience with Python
• Basic understanding of machine learning concepts and algorithms
• Familiarity with data processing and model evaluation
• Experience with libraries such as Scikit-learn, PyTorch, TensorFlow, or similar tools
• Strong analytical and problem-solving skills
• Ability to work independently and collaborate with a technical team
• Willingness to learn new technologies and techniques

Preferred Qualifications

• Experience with NLP, recommendation systems, computer vision, or predictive modeling
• Familiarity with large language models, embeddings, or generative AI
• Experience with Pandas, NumPy, SQL, or data visualization tools
• Understanding of model deployment or MLOps concepts
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud
• Personal projects, research experience, GitHub contributions, or previous internships are a plus

What We Value

We value curiosity, experimentation, strong analytical thinking, and the ability to turn data into practical solutions. Candidates with machine learning projects, research experience, or hands-on AI development are encouraged to apply.