Research intern on the Agents team building and aligning frontier AI systems for complex agentic and scientific tasks. Focus on post-training methods, evaluation frameworks, self-learning, and scalable agent infrastructure.
Develops efficient inference engines and RL/post-training pipelines for production-scale LLMs, optimizing algorithms, systems, and performance across the stack. Requires 3+ years in ML systems/RL/inference and advanced degree.
Develops and optimizes GPU-accelerated kernels and algorithms for ML/AI applications, co-designing with modeling, hardware, and software teams. Requires strong GPU programming expertise in CUDA/Triton and knowledge of ML models.
Research intern on the Agents team building and aligning frontier AI systems for complex agentic and scientific tasks. Focus on post-training methods, evaluation frameworks, self-learning, and scalable agent infrastructure.
Develops efficient inference engines and RL/post-training pipelines for production-scale LLMs, optimizing algorithms, systems, and performance across the stack. Requires 3+ years in ML systems/RL/inference and advanced degree.
Develops and optimizes GPU-accelerated kernels and algorithms for ML/AI applications, co-designing with modeling, hardware, and software teams. Requires strong GPU programming expertise in CUDA/Triton and knowledge of ML models.