Nu AI Core Summer PhD Research Internship

Palo Alto, Remote. Posted 26 days ago

The role

PhD students will lead an end-to-end research or applied AI project. They will combine research methods with large-scale production environments.

What you will do

Lead an end-to-end research or applied AI project
Combine research experimentation with applied system development
Perform model design, experimentation, and large-scale evaluation

Required qualifications

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

Nice to have

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

Benefits

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
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

Before you apply

Only for USA PhD students
Recruitment process may involve the use of artificial intelligence–enabled tools
Nu does not provide individualized technical feedback

About the company

Nu serves more than 140 million customers with a mission to fight complexity and empower people. The company uses proprietary technology and data at scale to power its digital platform.