Liquid AI

We need someone who takes ownership, thinks end-to-end, is pragmatic, and communicates clearly

5+ years of experience in systems programming, embedded software engineering experience, and understanding of ML fundamentals at the linear algebra level

3-5 years of experience in ML and high-performance computing, strong understanding of GPU kernels and frameworks like PyTorch

2-5 years of experience in machine learning, audio models, and PyTorch

B.S. + 5 years experience in dataset engineering, machine learning, and software development

BS + 5 years exp or MS + 3 years exp or PhD + 1 year exp, expertise in data curation, machine learning, and software development

Extensive experience in distributed training infrastructure, hands-on expertise in PyTorch Distributed, DeepSpeed, or Megatron-LM, and deep understanding of hardware accelerators

Experience with machine learning at scale, proficiency in PyTorch, and experience working with multimodal data

Experience with Japanese model evaluation landscape and familiarity with modeling and inference tools

2+ years of experience in machine learning research or production-grade ML systems, track record of publication in tier-1 venues, experience working in small, deep-technical teams