About the job
Join Perplexity as a skilled Machine Learning Research Engineer, where you will play a pivotal role in developing cutting-edge search technologies focusing on retrieval and ranking mechanisms.
Key Responsibilities:
Proactively enhance search quality through innovative models, data strategies, tools, and other effective means.
Design and construct essential components of our advanced search platform and model architecture.
Create, train, and fine-tune large-scale deep learning models utilizing frameworks like PyTorch, with an emphasis on distributed training and hardware acceleration for retrieval and ranking.
Engage in advanced research on representation learning, including contrastive learning and multilingual, multimodal modeling tailored for search and retrieval applications.
Implement and deploy models effectively, ranging from boosting algorithms to large language models, ensuring scalability and performance.
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for accurate grounding and answer generation.
Collaborate across Data, AI, Infrastructure, and Product teams to ensure swift and high-quality project delivery.
