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Form of workat Merck in Boise, Idaho, United States
Job DescriptionJob 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, relation extraction, entity linking, and question answering. 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 2024 in Cambridge, MA.
+ 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, especially in NLP contexts.
+ 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 p
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