Nu AI Core Summer PhD Research Internship
About Nu
About the Program
Duration
Start dates
Location model
What you get
- Dedicated research mentor
- Ownership of a scoped AI research project
- Access to large-scale datasets and compute infrastructure
- Research talks and technical seminars
- Final research presentation to leadership and AI teams
Research Areas
Machine learning and deep learning
Large language models and generative AI
Recommender systems and ranking models
AI infrastructure and model optimization
Responsible AI and model evaluation
research experimentation with applied system development
PhD students conducting research in AI and machine learning
who are interested in applying their work to real-world systems. Applicants are typically pursuing a PhD in fields such as:
- Computer Science
- Machine Learning
- Artificial Intelligence
- Statistics
- Mathematics
- Computational Linguistics
- Electrical Engineering
- or related quantitative disciplines.
Basic Qualifications (Application/ Screening Filters)
- Currently enrolled in a PhD program
- Research focus in machine learning, AI, statistics or related areas
- Strong programming skills in Python or similar languages
- Experience working with machine learning frameworks (e.g., PyTorch, TensorFlow)
- Experience designing experiments and evaluating models
- Experience working with large datasets or training ML models
Preferred Qualifications
Strong candidates may also demonstrate:
- Publications at top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, KDD, RecSys, CVPR, CIKM or equivalent-conferences for related fields)
- Experience working with large-scale ML systems or distributed training
- Experience with LLMs, generative AI, or foundation models
- Open-source contributions in AI or ML
- Experience collaborating in interdisciplinary research environments
What We Value We are particularly interested in candidates who demonstrate:
- Strong research rigor and experimental methodology
- Ability to translate research ideas into practical systems
- Track record of identifying novel research directions or reframing existing problems
- Intellectual curiosity and independent problem solving
- Collaboration with engineers and cross-functional teams
- Interest in deploying AI systems with real-world impact
Benefits
- Top Tier Medical Insurance
- Top Tier Dental and Vision Insurance
- Life Insurance and AD&D
- Extended maternity and paternity leaves
- Nucleo - Our learning platform of courses
- NuLanguage - Our language learning program
- NuCare - Our mental health and wellness assistance program
- 401K
- Saving Plans - Health Saving Account and Flexible Spending Account
Location for this opportunity Remote, but only for USA PhD students
Our recruitment process may involve the use of artificial intelligence-enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.
To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here
Not included in the source posting: what you'll do.
Skills
Who can apply
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