iManage · 11 hours ago
Applied AI Intern
iManage is a dynamic technology company that provides students the chance to experience a rapid growth environment through their internship program. As an Applied AI Intern, you will work with a multi-disciplinary team on researching and applying cutting-edge AI algorithms and NLP methods to solve complex problems using curated datasets.
AppsiOSSoftwareVideo
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
Qualification
Required
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
Preferred
Used/Built programs that use PyTorch
Company
iManage
iManage provides work product management solutions.
H1B Sponsorship
iManage has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (16)
2023 (18)
2022 (18)
2021 (20)
2020 (12)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Bain Capital Tech Opportunities
2023-04-11Series Unknown
2003-08-18Acquired
1998-01-01Series Unknown
Recent News
2026-01-16
New Enterprise Associates
2026-01-03
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