Ai Engineer • Mid-Level

Who you are

You have a strong proficiency in Python and PyTorch, with hands-on experience optimizing training pipelines for AI models. Your background includes practical applications of reinforcement learning, allowing you to translate complex optimization techniques from theory into effective implementations. You actively follow the latest research in reinforcement learning and are eager to push the boundaries of small language models capabilities. You are comfortable crafting domain-specific training environments and profiling GPU utilization in multi-turn asynchronous rollouts. Your experience includes integrating research ideas into robust, maintainable code, demonstrating your ability to bridge the gap between theory and practice.

What you'll do

At Liquid AI, you will be part of a team redefining the architecture of intelligence. Your role will involve shaping model architectures and scaling development platforms to create efficient AI systems that operate under real-time constraints. You will collaborate with a community of world-class engineers and researchers, contributing to the development of Liquid Foundation Models (LFMs) that run on-device and at the edge. Your work will directly impact the deployment of AI systems across various industries, including consumer electronics and automotive. You will also engage in profiling and optimizing GPU utilization, ensuring that our models perform reliably under demanding conditions.

What we offer

We provide an environment where innovation thrives, and you will have the opportunity to work on groundbreaking AI technologies. Our team is composed of talented individuals from diverse backgrounds, all committed to pushing the frontiers of intelligent systems. We encourage you to apply even if your experience doesn't match every requirement, as we value curiosity and a growth mindset. Join us in our mission to build the next generation of AI systems that can operate efficiently at every scale.