Member of Technical Staff (Machine Learning Research Engineer)
Core
Building next-generation advanced search technologies, specifically focusing on retrieval and ranking systems.
Role type
Senior IC machine learning research engineer (search & retrieval)
Builds
Core components of the search platform and model stack, including retrieval and ranking models, RAG pipelines, and deployed LLMs.
Domain
Search technology, information retrieval, and large-scale AI/ML
Deliverable
production ML models
Required skills
Large-scale search and retrieval systems expertise, distributed training techniques, representation learning (contrastive, multilingual, multimodal), PyTorch proficiency, model deployment and optimization, quality evaluation metrics
Preferred skills
Strong publication record in top AI/ML conferences (NeurIPS, ICML, ICLR, ACL, CVPR, SIGIG)
Technologies
PyTorch, DeepSpeed, FSDA, PyTorch Distributed
Responsibilities
Architect and build core components of the search platform and model stack; Design, train, and optimize large-scale deep learning models for retrieval and ranking; Conduct advanced research in representation learning; Deploy models in a scalable and performant way; Build and optimize RAG pipelines for grounding and answer generation
Seniority
Senior, hands-on IC
