Develop and evaluate ML models and pipelines for AI products in healthcare, collaborating with MLOps teams on subprojects. Requires pursuing MS/PhD in CS/EE/BME with ML/CV focus, strong Python, and PyTorch/TensorFlow experience.
Nice-to-have: Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.
Research intern role focused on RL and post-training systems for large language models, co-designing algorithms and inference systems. Requires strong research experience in RL/post-training or ML systems, Python proficiency, and willingness to work across abstraction layers.
Research intern on the Model Shaping team working on post-training methods, efficient neural network training, and foundation model evaluation. Requires strong ML fundamentals and PyTorch/JAX experience.
Intern developing and optimizing GPU-accelerated kernels for ML/AI applications. Requires strong GPU programming background (CUDA/Triton) and knowledge of performance optimization.
Research intern on the Inference team building efficient serving systems for large foundation models. Focus on distributed inference, compiler-aware optimization, and novel inference-time strategies.