- Pacific Northwest National Laboratory (Albany, NY)
- …focuses on basic and applied computing research encompassing artificial intelligence , applied mathematics, computing technologies, and data and computational ... **Qualifications** Minimum Qualifications: + Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. + Minimum GPA of 3.0 is… more
- Meta (New York, NY)
- **Summary:** Meta is seeking a PhD Research Intern to join the Adaptive Experimentation team, within our Central Applied Science Org. The mission of the team is ... and optimizing Generative AI models to automating A/B tests, contextual decision -making, and black-box optimization for hardware design. PhD Research Interns… more
- Meta (New York, NY)
- …have various start dates throughout the year. **Required Skills:** Research Scientist Intern , AI Core Machine Learning ( PhD ) Responsibilities: 1. Develop novel ... Qualifications: 7. Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence , Computer Science, Information or… more
- SAP (New York, NY)
- …students with opportunities to find purpose in their careers. **Three reasons to intern at SAP** 1. **Culture of collaboration** : meet with mentors, make new ... development opportunities at your fingertips. **What you'll do:** Position title: SAP iXp Intern - Business Suite CSM Operations Location: Hudson Yards or East Coast… more
- Microsoft Corporation (New York, NY)
- …research includes work on adaptive optimization and metrics, coordinated decision -making under uncertainty, preference elicitation and alignment, information flow ... for collective intelligence , and measurement and analysis of interactions in AI...summer. **Qualifications** **Required Qualifications** + Currently enrolled in a PhD program in CS, EE or a related STEM… more
- American Express (New York, NY)
- …risk modeling, personalize decisions, and enhance customer experiences. The Data Science Intern will support the development of predictive models used across credit, ... test predictive models using machine learning techniques (eg, logistic regression, decision trees, clustering). + Document modeling choices and provides rationale… more