Principal AI Architect -- OleOle
Core
Design and lead the AI architecture for a global consumer SuperApp, focusing on real-time multilingual translation, AI-powered sports content generation, and a sports data engine.
Role type
Principal AI Architect (hands-on IC)
Builds
Production AI systems, LLM fine-tuning pipelines, and real-time inference services for a global social network.
Domain
Consumer social networking, sports data, multilingual AI
Deliverable
production ML models
Required skills
Python, PyTorch, transformer architectures, deep learning frameworks, open-source foundation models (Llama, Qwen, Mistral), LoRA/QLoRA, supervised fine-tuning, model evaluation, GPU computing, model quantization, batching, memory management, inference optimization, vLLM, TensorRT-LLM, Triton Inference Server, distributed-systems architecture, cloud infrastructure
Preferred skills
consumer AI platforms at scale, multilingual and multimodal AI engineering, recommendation systems, ranking algorithms, personalization, real-time AI inference, streaming architectures, open-source AI contributions, published AI research
Technologies
PyTorch, Python, vLLM, TensorRT-LLM, Triton Inference Server, Llama, Qwen, Mistral
Responsibilities
Establish overall AI architecture and lead its development; provide technical leadership while remaining directly involved in architecture, model development, fine-tuning, optimization, integration, and deployment; write code and resolve challenging engineering problems; identify and implement emerging AI technologies.
Seniority
Principal, hands-on IC
