Machine Learning Intern

Location: Los Angeles, CA
Job Type: Internship
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.

Work arrangement
Yes