Intern, Machine Learning Engineering

Ithaka • New York City, NY

2d • $25

About The Position

ITHAKA’s Artificial Intelligence/ Machine Learning team (AI/ML) is looking for a skilled and driven student with a background in applied machine learning and data science to intern with our team. The ideal candidate will have experience with machine learning projects either through course-work/ projects, personal projects, and/or industry experience and have a good understanding of AI and machine learning concepts and techniques. This role involves researching and implementing machine learning solutions for real-world applications. This is a full-time internship, the intern is expected to work 40 hours per week. The internship spans a period of 12 weeks, beginning on June 1, 2026.

Requirements

• Actively enrolled and pursuing a Bachelor's or higher degree in Computer Science, Data Science, or a related technical field.
• Understanding of machine learning concepts, including understanding of machine learning algorithms, feature engineering techniques, training/evaluation/serving pipelines, etc.
• Coursework or real-world experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working on Natural Language Processing (NLP) and/or Computer Vision use cases.
• Familiarity with Large Language Models (LLMs) and Generative AI techniques.
• Intermediate programming skills in Python and proficiency in SQL for data manipulation.

Responsibilities

• Design, build, and deploy machine learning solutions addressing real-world use cases.
• Perform data analysis to ensure quality, identify insights, and inform model development.
• Develop and implement robust evaluation frameworks, including creating ground truth datasets, to assess model performance and reliability.
• Fine-tune models to enhance performance and scalability.
• Document and share your research findings with the team.
• Collaborate with a cross-functional team of machine learning engineers, software engineers, product managers, and user researchers as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern