Liquid Labs - Research Engineer

The role

You will design and implement novel architectures, training methods, and inference strategies. You will translate scientific ideas into working systems and deploy them.

What you will do

• Design and implement novel architectures, training methods, and inference strategies
• Translate scientific ideas into working systems
• Publish research where it drives the field forward
• Deploy research where it changes what is possible

Required qualifications

• Work fluently in Python and frameworks such as PyTorch, JAX, or TensorFlow
• Experience in machine learning research or production-grade ML systems
• Track record of publication in tier-1 venues (NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent)

About the company

Liquid Labs is an internal research accelerator at Liquid AI. The work traces back to MIT CSAIL and focuses on building intelligent, personalized, and adaptive machines.