- New York Road Runners (New York, NY)
- …and fitness. NYRR's year-round offerings of races, community events, programs, and training resources provide hundreds of thousands of people with the motivation, ... media and partner activations (which may include signage setup, hospitality support, product distribution, or volunteer coordination) + Liaise with internal teams to… more
- LiveRamp (New York, NY)
- …growth targets. + Strong Relationships & Empathy + Ability to digest how product /process change might impact customer's business + Ability to communicate why change ... renewals and partnering with Sales on upsells/cross-sells + Nice to have: + Internship experience during college prior to entering the workforce + Multiple roles… more
- DuPont (Buffalo, NY)
- …Us | DuPont Careers (https://careers.dupont.com/us/en/whyjoinus) At **DuPont** , our paid internship and co-op opportunities are designed to give students more than ... and customers + Work in team-based environments with mentorship and technical training + Participate in professional development opportunities tailored to your role… more
- Capital One (New York, NY)
- …that solve real-world business problems, while working in collaboration with the Product and Data Science teams. + Inform your ML infrastructure decisions using ... including choice of model, data, and feature selection, model training , hyperparameter tuning, dimensionality, bias/variance, and validation). + Solve complex… more
- Meta (New York, NY)
- …people around the globe. 5. Develop a strong understanding of relevant product area, codebase, and/or systems. 6. Demonstrate proficiency in data analysis, ... 12. Requires completion of a university-level course, research project, internship , or thesis in the following: 13. 1. Coding...19. 7. Securing compute in a VM for AI training and inference 20. 8. Distributed systems including sharding,… more
- Capital One (New York, NY)
- …that solve real-world business problems, while working in collaboration with the Product and Data Science teams. + Inform your ML infrastructure decisions using ... including choice of model, data, and feature selection, model training , hyperparameter tuning, dimensionality, bias/variance, and validation). + Solve complex… more