Member of Technical Staff - ML Inference Engineer, Pytorch

Liquid AI is building efficient AI systems at every scale, including on-device, at the edge, and under real-time constraints. The company is looking for a Member of Technical Staff - ML Inference Engineer to optimize and productionize the end-to-end pipeline for GPU model inference around Liquid Foundation Models (LFMs).

Requirements

• Experience building large-scale production stacks for model serving
• Solid understanding of ragged batching, dynamic load balancing, KV-cache management, and other multi-tenant serving techniques
• Experience with applying quantization strategies (e.g., FP8, INT4) while safeguarding model accuracy
• Deployed models in both single-GPU and multi-GPU environments and can diagnose performance issues across the stack

Benefits

• Hands-on experience with state-of-the-art technology at a leading AI company
• Deeper expertise in machine learning systems and efficient large model inference
• Opportunity to scale pipelines that directly influence user latency and experience with Liquid's models
• Collaborative, fast-paced environment where your work directly shapes our products and the next generation of LFMs