2025 University Recruiting - Natural Language Processing (NLP) and Generative AI Research Intern
USA - Massachusetts - Cambridge (320 Bent Street), United States
MSD
At MSD, we're following the science to tackle some of the world's greatest health threats. Get a glimpse of how we work to improve lives.Job Description
Are you a current Ph.D. student passionate about helping computers learn to decipher the intricacies of language and eager to make a meaningful contribution to therapeutics development and patient lives? We are currently seeking an enthusiastic and analytical-minded individual to join our NLP team for a rewarding summer internship.
Role Description
As an NLP Research Intern, you will collaborate with our cross-disciplinary team of data scientists, bioinformaticians, and engineers. Your work will involve helping to create and improve NLP and generative AI models for unstructured and semi-structured data from various sources across our research and development pipeline. Key focus areas will include the likes of text classification, named entity recognition, relation extraction, entity linking, and question answering systems using NLP, generative AI, and agent-based systems. Through this experience, you will gain an understanding of real-world NLP applications, while contributing to NLP research.
Your Responsibilities
Contribute to the development, testing, deployment, and refinement of NLP and generative AI models.
Work closely with mentors to understand real-world NLP challenges and deliver automated data solutions to address them.
Stay updated on the newest approaches in NLP and machine learning, and explore opportunities to incorporate them in our projects.
Participate in meetings with stakeholders, presenting your findings, and progress to the team.
Qualifications
Current Ph.D. student focused on computer science or a related discipline with a strong emphasis on NLP, machine learning, AI or related techniques. Candidate must be able to commit to a full-time onsite position for 10 - 12 weeks starting June 2025
Proficient in Python programming, version control with Git, and standard Python packages like pandas, numpy, and matplotlib.
Experience with at least one machine learning framework (e.g., PyTorch, Tensorflow) and NLP libraries (e.g., Spacy, General Architecture for Text Engineering / GATE).
Familiarity with statistical learning, such as supervised, unsupervised, and weakly supervised learning, meta learning, especially in NLP contexts.
Familiarity with Large Language Models, such as prompt engineering, Retrieval-Augmented Generation (RAG), parameter-efficient fine-tuning, and LLM-based multi-agent systems is highly desirable
Experience with cloud and/or high-performance computing environments (e.g., AWS) is a plus.
Strong teamwork, communication skills
What We Offer
An opportunity to work at the forefront of NLP research and gain hands-on experience.
Opportunities to co-author presentations, reports, and/or public code releases.
A paid internship position, with potential involvement in a scientific publication as a result of research undertaken during the internship.
FTP2025
GSF2025
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U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.
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Employee Status:
Intern/Co-op (Fixed Term)Relocation:
No relocationVISA Sponsorship:
NoTravel Requirements:
10%Flexible Work Arrangements:
HybridShift:
Not IndicatedValid Driving License:
NoHazardous Material(s):
n/aJob Posting End Date:
02/14/2025*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Tags: Architecture AWS Classification Computer Science Engineering Generative AI Git LLMs Machine Learning Matplotlib NLP NumPy Pandas Prompt engineering Python PyTorch RAG Research spaCy Statistics TensorFlow Testing
Perks/benefits: Career development Flex hours Relocation support
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