Transformers, CNN) and ML training loop Strong proficiency in Python and ML framework such as PyTorch Bachelors degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience Experience with agentic AI-assisted codingCollaborative with experience working in large inter-teams projects Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errorsExperience in model lifecycle of training, evaluation, and deployment of models Strong understanding of Machine Learning (ML) model architectures (e.g.