ML Research Intern

Навыки

Обязанности

• 01Improve existing methods for large-scale model training, optimization, and inference
• 02Develop new techniques for large-scale model training, optimization, and inference
• 03Extend models to long-context and long-horizon tasks
• 04Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments

Требования

• 01Currently pursuing a PhD in computer science, machine learning, or a related field
• 02Demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas
• 03Experience developing and evaluating large-scale models or machine learning systems
• 04Familiarity with distributed training, large-scale inference, or multi-GPU environments
• 05Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR
• 06Strong programming and engineering skills, with the ability to translate research ideas into working implementations
• 07Collaborative, mission-driven mindset and ability to work effectively across research and engineering teams