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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in machine learning and AI, with strong programming skills in Python and experience in designing experiments and evaluating models. Capable of leading research projects and collaborating in interdisciplinary environments while contributing to open-source AI initiatives.
Highest-signal resume keywords
Machine LearningDeep LearningPython ProgrammingPyTorch FrameworkTensorFlow Framework
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningModel DesignExperimentationModel EvaluationLarge DatasetsTraining ML ModelsLLMsGenerative AIFoundation Models
Soft Skills
CollaborationPresentation SkillsRelationship Building
Tools & Technologies
PyTorchTensorFlowAI InfrastructureModel Optimization
Industry Keywords
Artificial IntelligenceStatisticsComputer ScienceQuantitative DisciplinesInterdisciplinary Research
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Collaborate with engineers, applied scientists, and researchers on complex AI challenges
- Lead an end-to-end research or applied AI project
- Combine research methods with large-scale production environments
- Conduct model design, experimentation, and large-scale evaluation
- Work on machine learning and deep learning, large language models and generative AI, recommender systems and ranking models, AI infrastructure and model optimization, or responsible AI and model evaluation
- Present final research results to leadership and AI teams
- Build relationships between industry and academia and emerging AI research talent
Requirements
What you’ll need- 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
- PhD studies in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Computational Linguistics, Electrical Engineering, or related quantitative disciplines
- Publications at top AI/ML conferences or equivalent conferences for related fields (preferred)
- Experience working with large-scale ML systems or distributed training (preferred)
- Experience with LLMs, generative AI, or foundation models (preferred)
- Open-source contributions in AI or ML (preferred)
- Experience collaborating in interdisciplinary research environments (preferred)
- USA PhD student; currently enrolled in a PhD program in the United States
- Must be enrolled as a PhD student during Summer 2027
- Available to start in May or June 2027 and work for about 12 weeks
- US work authorization for the internship period
Benefits
Comp & perks- 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
- Access to large-scale datasets and compute infrastructure
- Research talks and technical seminars
- Dedicated research mentor
- Final research presentation to leadership and AI teams
- One in-person week at Nu's Palo Alto office, fully covered by Nu