Research Scientist
Core
Develop next-generation AI technologies focusing on user representation learning, semantic understanding, and generative AI applications.
Role type
Senior IC research scientist (applied AI)
Builds
Production AI models, embedding systems, and retrieval pipelines
Domain
Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Deep Learning, Representation Learning, Transformer architectures, Generative AI Models, Contrastive Learning, Self-supervised Learning, Embedding Models, Retrieval-Augmented Generation (RAG), Vector Search, Semantic Search
Preferred skills
Python, PyTorch, JAX, Large-scale distributed data processing, GPU Computing, NVIDIA CUDA programming, Multi-GPU training, Mixed precision training
Technologies
PyTorch, JAX, NVIDIA GPUs, Vector databases
Responsibilities
Design and prototype transformer-based generative AI solutions; Develop scalable representation learning techniques; Build and evaluate large-scale AI systems on behavioral and transactional datasets; Design embedding models and semantic search pipelines; Establish reproducible benchmarking pipelines; Translate business problems into measurable ML objectives.
Seniority
Senior, hands-on IC
