FullStack Member of Technical Staff II

Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products
Design and build scalable, production-grade systems for real-time perception, multimodal understanding, and decision-making
Develop and deploy models across cloud and edge environments, including resource-constrained devices
Architect and optimize full-stack AI pipelines, including: Data collection, curation, and labeling strategies
Training, fine-tuning, and evaluation of CV/NLU/ML/MLLM models
Inference optimization (latency, throughput, cost, power)
Translate research advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems
Collaborate cross-functionally with MLE, hardware, firmware, and product teams to integrate AI into real-world systems
Optimize solutions for hardware-specific acceleration (GPU, NPU, DSP) and edge deployment
Define and drive evaluation frameworks and metrics to ensure system performance, reliability, and safety
Lead technical direction for complex, ambiguous problems and influence system architecture across teams
Contribute to technical design docs, internal knowledge sharing, and long-term platform strategy