Responsibilities

The Senior Machine Learning Engineer will be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of social media data from platforms like YouTube, TikTok, and Facebook. They will implement infrastructure to support machine learning systems at scale, processing hundreds of millions of videos daily, and working with state-of-the-art models, including large language models and RAG systems. This role involves contributing to the development of sophisticated compound AI systems and keeping up to date with the latest advancements in Machine Learning Operations, utilizing tools such as Ray, Pandas, DBT, FastAPI, Github Actions, Docker, Terraform, Kubernetes, ArgoCD, AWS, GCP, Datadog, Triton Inference Server, Weights and Biases, Transformers, Onnx, TensorRT, DVC, and HuggingFace.