PhD research internship focusing on reinforcement learning, machine learning, and foundation models, including large language and multimodal models; responsibilities include improving methods for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments; onsite in New York.
What they are looking for
Details
- Work type
- Onsite
- Remote eligible
- No
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