Research Engineer - Model Architectures

Zyphra•San Francisco, CA

9d•Onsite

About The Position

As a Research Engineer - Model Architectures, you will be a core contributor to Zyphra’s AI Architecture Research Team. This will involve designing and rigorously testing novel model architectures and training methodologies, with a focus on improving core modeling capabilities (e.g., loss per flop or loss per parameter) and addressing fundamental bottlenecks in contemporary models. You will also work extremely closely with our pre-training team, who will integrate your insights into our next-generation models.

Requirements

Strong research taste and intuition
The ability to work through a research project from conception to execution to write-up
Strong implementation and prototyping ability can take an idea from conception to experimentation extremely quickly
The ability to work well and cooperate with others in a high-paced research setting
Curiosity, interest, and joy in understanding intelligence.

Nice To Haves

Previous experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative approaches to credit assignment
Experience with reinforcement learning, control theory, and signal processing
Generally, a joy in inventing and seriously assessing ‘crazy’ ideas, and the ability to have a unique perspective on things
Understanding of modern training pipelines and the hardware requirements to design efficient architectures for GPU hardware
Strong grasp of proper experimental methodology for running rigorous ablations and other hypothesis testing
High proficiency with PyTorch and Python.
Strong ability to jump into large pre-existing codebases and rapidly get up to speed and become productive
Previously published machine learning research in well-respected venues
Postgraduate degree in a scientific subject (Computer Science, EE/EECS, Math, Physics)