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Intern, Machine Learning Engineering

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Portico

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

25.00 USD / Hour
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Job Description:

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.

Job Responsibility:

  • 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

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

Additional Information:

Job Posted:
January 09, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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