Research Scientist
Core
Develop next-generation AI technologies focusing on user representation learning, semantic understanding, and generative AI applications.
Role type
Applied Research Scientist (Generative AI & Representation Learning)
Builds
Production-quality AI models, embedding systems, retrieval pipelines, and scalable representation learning techniques.
Domain
Artificial Intelligence, Machine Learning, Generative AI
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, Information Retrieval
Preferred skills
Python, PyTorch, JAX, Large-scale distributed data processing, GPU Computing, NVIDIA GPU architecture, CUDA programming, Multi-GPU distributed training, Mixed precision training, Profiling and optimizing GPU utilization
Technologies
PyTorch, JAX, NVIDIA GPUs, CUDA, Vector databases
Responsibilities
Design, prototype, evaluate, and deploy transformer-based generative AI solutions; Develop scalable representation learning techniques using transformers and self-supervised learning; Investigate multimodal learning approaches for heterogeneous data; Train and evaluate models using large-scale behavioral and transactional datasets; Design embedding models, retrieval systems, and semantic search pipelines; Collaborate with engineering teams to deploy production-quality AI models; Establish reproducible benchmarking pipelines and offline/online evaluation methodologies.
Seniority
Senior, hands-on IC with independent project ownership