Research Intern — Natural Language Processing

About Us

At Neural Nurture, we are committed to advancing the frontiers of Artificial Intelligence and Machine Learning. Our research lab focuses on solving some of the most exciting and challenging problems in Machine Learning, Natural Language Processing, and Computer Vision.

Role Overview

We are seeking highly motivated research interns to join our team, with a focus on Natural Language Processing. Interns will contribute to projects centered on language understanding, model interpretability, and efficient deep learning. The position will focus on developing methods that improve the reliability and human-alignment of language models, with particular emphasis on areas like sentence acceptability evaluation, structured representations, and judgment-based learning.

This is an excellent opportunity for individuals interested in pushing the boundaries of how language models understand, reason, and interact in more human-aligned ways. Interns will have the opportunity to work on both fundamental research and practical applications, aiming for contributions to top-tier conferences in NLP and Machine Learning. This is an unpaid research internship intended for students who are looking to gain hands-on experience in cutting-edge AI research and contribute to high-impact academic and applied projects.

Responsibilities

• Collaborate with research mentors to brainstorm and define solutions for challenging real-world problems.
• Review relevant literature and existing approaches to identify gaps and opportunities for innovation.
• Design novel solutions, build working prototypes, and perform comprehensive experiments to assess the effectiveness of the proposed methods against relevant benchmarks.
• Evaluate results of experiments, validate findings, and fine-tune models based on insights gained.
• Present research results with other internal teams or at external academic or industry events, effectively communicating technical findings.
• Prepare and refine research papers for submission to leading conferences in Machine Learning and Natural Language Processing.

Qualifications

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Mathematics, or a related field.
• Proficiency in programming languages such as Python, Java, C++, or other relevant languages.
• Strong foundational knowledge of core machine learning concepts and the mathematical principles underlying ML algorithms.
• Strong background in Natural Language Processing and Deep Learning.
• Experience with Deep Learning frameworks (e.g., PyTorch, TensorFlow).
• Ability to work independently and collaboratively in a fast-paced environment.
• Passion for research and a curiosity-driven mindset.

Preferred Qualifications

• Prior research experience including publications in major conferences or journals.
• Strong coding skills in Python.
• Familiarity with linguistic theory, structured prediction models, or human-centered evaluation methodologies.
• Prior experience in research projects related to language model evaluation, interpretability, or structured learning.
• Familiarity with libraries like Hugging Face Transformers.
• Experience working with large-scale datasets and training models on cloud or cluster environments.

Why Join Neural Nurture?

At Neural Nurture, you will have the opportunity to work closely with experienced researchers specializing in ML, Natural Language Processing, and Computer Vision. Our collaborative environment fosters deep technical learning and hands-on mentorship, helping you grow as a researcher. Interns at Neural Nurture are encouraged to contribute to cutting-edge projects aimed at both academic advancement and real-world impact, with opportunities to publish in top-tier ML, CV, and NLP conferences. You will tackle challenging problems at the intersection of academic research and industry applications, gaining valuable experience that prepares you for future careers in research, academia, or industry.

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