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."
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
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
