About the job
As a Research Engineer, you’ll join a small, high-context team exploring the limits of adaptive intelligence. You’ll design and implement novel architectures, training methods, and inference strategies to redefine what efficient AI can do. You’ll operate at the intersection of research and engineering — translating scientific ideas into working systems, publishing where it drives the field forward, and deploying where it changes what’s possible.
Responsibilities
No responsibilities listed.
Qualifications
Minimum
Work fluently in Python and frameworks such as PyTorch, JAX, or TensorFlow
Have experience in machine learning research or production-grade ML systems
Move fast from paper to prototype — curiosity backed by precision
Care about efficiency, scalability, and elegant system design as scientific principles
Value small, deep-technical teams where impact is immediate and measurable
Have a track record of publication in tier-1 venues (NeurIPS, ICML, ICLR, CVPR, ACL, or equivalent), demonstrating original contribution and research rigor
Preferred
No preferred qualifications listed.