Artificial Intelligence Research Assistant

Qualifications

• Proficiency in data structures, algorithms, and statistics

• A current enrollment in a PhD or Master's program specializing in machine learning, data science, artificial intelligence, computer science, statistics, or a related field

• Experience using Python packages to extract, structure, classify, and analyze text data

• Solid knowledge of foundational machine and deep learning concepts

• Foundational understanding of Generative AI concepts

• Knowledge of standard NLP tasks and models

• A passion to learn and improve within the company and share knowledge with colleagues

Responsibilities

• As an AI intern, you will have the opportunity to work on researching and applying cutting-edge Gen AI algorithms and using NLP methods to tackle challenging problems

• You will be working with a multi-disciplinary team of AI engineers and data scientists, and will have the opportunity to experiment with our datasets and contribute to a special project

Full Description

About iManage

We are a rapidly growing technology company that offers students the chance to experience innovation firsthand through our internship program.

This paid internship program provides project-based activities, improved knowledge of business fundamentals, complex problem-solving, collaboration, team building, and fun experiences along the way.

Job Description

As an AI intern, you will have the opportunity to work on researching and applying cutting-edge Gen AI algorithms and using NLP methods to tackle challenging problems.

You will be working with a multi-disciplinary team of AI engineers and data scientists, and will have the opportunity to experiment with our datasets and contribute to a special project.

Requirements

• Proficiency in data structures, algorithms, and statistics.

• A current enrollment in a PhD or Master's program specializing in machine learning, data science, artificial intelligence, computer science, statistics, or a related field.

• Experience using Python packages to extract, structure, classify, and analyze text data.

• Solid knowledge of foundational machine and deep learning concepts.

• Foundational understanding of Generative AI concepts.

• Knowledge of standard NLP tasks and models.

• A passion to learn and improve within the company and share knowledge with colleagues.