Applied AI Intern

iManage•Chicago, IL

6d•Onsite

About The Position

iManage U provides students the chance to experience a dynamic, rapid growth technology company firsthand. iManage will provide a structured program which delivers project-based activities, improved knowledge of business fundamentals, tackling complex problem solving, collaboration, team building, and some fun experiences along the way! This year, our paid internship program will kick-off on Monday, June 8th and will run through Thursday, August 13th. This internship will be based out of our downtown Chicago office, with activities requiring in-person presence. Goals of the Program: iM Making An Impact: Leave your mark on your team by owning and completing assigned projects iM A Mentee: Learn from teammates across departments & gain perspectives from a diversity of people iM A Connector: Meet & connect with as many interns and iManage employees as possible iM Inspired: Learn from our leadership team and ask questions during our lunch and learns iM Social: Enjoy intern events, and everything iManage has to offer this summer Being an Applied AI Intern at iManage means… You are excited about joining forces with a multi-disciplinary team of AI engineers and data and machine learning scientists. As an AI intern on our team, you’ll be working on researching and applying cutting edge Gen AI algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets. You operate with a data-focused mindset, and so you will have the opportunity to experiment with our datasets and contribute to a special project. You will rely on Python and its data science ecosystem, using various NLP methods, to rigorously measure our product quality, improve enterprise products, and understand the behavior of end-users. Hear more about the opportunity from our Senior Manager: "On this team, you are eliminating some of the manual tasks of our knowledge workers. You'll be doing work outside of the textbook and really activate the creative thinking to achieve great things."

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
Used 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 the theory and practice of standard NLP tasks and models
A passion to learn and improve within the company and share knowledge with colleagues

Nice To Haves

Used/Built programs that use PyTorch

Responsibilities

Performing exploratory analyses on text corpora, developing preprocessing pipelines for training data, and generating hypotheses to optimize model performance and fine-tuning strategies
Designing and implementing prompt engineering frameworks to enhance LLM outputs, including few-shot learning approaches and chain-of-thought reasoning techniques
Maintaining highest quality standards through process to identify and correct mistakes and inconsistencies in processes
Fine-tuning language models for NLP tasks using transformer architectures, advanced algorithms and software tools
Conducting cutting-edge research experiments on novel AI methodologies that inform product strategy and model development roadmaps

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume