2026 Fall Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student Science Recruiting

Description

Are you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation.

About the role

This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real-world problems and deliver impactful solutions.

Responsibilities

• Tackle challenging, groundbreaking research problems on production-scale data, focusing on recommendation systems, question answering, deep learning, and generative AI.
• Collaborate with cross-functional teams to solve complex business problems.
• Develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and GenAI.
• Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of what's possible.
• Explore the vast potential of generative AI and its applications across industries.
• Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries.
• Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation.
• Present your groundbreaking work and insights to the team, fostering a culture of knowledge-sharing and continuous learning.

Requirements

• Enrolled in a PhD
• Experience programming in Java, C++, Python or related language
• Must be available for full-time (40 hours per week) internship for the whole duration of the internship

Qualifications

• Have publications at top-tier peer-reviewed conferences or journals
• Experience in building models for business applications

Skills

• LLMs
• NLP/NLU
• Gen AI
• Transformers
• Fine-Tuning
• Recommendation Systems
• Deep Learning
• NER
• Statistics
• Neural Networks
• Question Answering

Benefits

• EAP
• Mental Health Support
• Medical Advice Line
• 401(k) matching

Pay

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location.

Schedule

The internship is full-time (40 hours per week).