PhD AI/ML Engineering Intern - NLP, LLM
Description For PhD AI/ML Engineering Intern - NLP, LLM
LinkedIn is seeking PhD AI/ML Engineering interns to work on cutting-edge NLP and LLM projects that will impact millions of users worldwide. As part of our unique engineering culture, interns will have the opportunity to work on projects from ideation to implementation, combining both research and practical engineering skills.
The role focuses on developing and implementing advanced NLP models and LLMs to enhance LinkedIn's platform capabilities. You'll work with massive datasets, develop innovative solutions for natural language understanding and generation, and collaborate with industry-leading AI/ML engineers.
This internship offers a distinctive opportunity to apply academic research to real-world problems while working at the intersection of professional networking and artificial intelligence. You'll be part of a team that values both research excellence and practical implementation, with access to LinkedIn's vast data resources and technical infrastructure.
The position offers competitive compensation ($57-70/hour) and comprehensive benefits, including medical, dental, and vision insurance. The 12-week internship program provides flexibility with two possible sessions in 2025, and features a hybrid work arrangement based in Mountain View, CA.
As an intern, you'll contribute to LinkedIn's mission of connecting the world's professionals while working on state-of-the-art AI technologies. This role is perfect for PhD candidates who want to bridge the gap between academic research and industry application, offering hands-on experience with large-scale AI systems that serve millions of users.
Responsibilities For PhD AI/ML Engineering Intern - NLP, LLM
- Work with large data sets, crunching millions of samples for statistical modeling and data mining
- Research and develop innovative NLP models, focusing on LLMs
- Design and implement scalable algorithms for natural language understanding
- Collaborate with cross-functional teams to integrate NLP/LLM solutions
- Design, implement, train, and fine-tune LLM models
- Select appropriate annotated datasets for Supervised Learning methods
Requirements For PhD AI/ML Engineering Intern - NLP, LLM
- Currently pursuing a PhD in computer science, statistics, mathematics, or related field
- Knowledge of core computer science concepts
- Research experience in NLP, LLMs, or related areas
- Experience in Python and deep learning frameworks
- Experience working with transformer models
- Expected graduation date of December 2025 or later
Benefits For PhD AI/ML Engineering Intern - NLP, LLM
- Medical insurance
- Vision insurance
- Dental insurance
- 401(k)
- Parental leave
- Hybrid work option
- 12-week internship program
