ML Research Engineer (Distributed Training)
As an ML Research Engineer specializing in Distributed Training at Metamorphic, you will be crucial in building and scaling the distributed systems necessary for training state-of-the-art foundation models across thousands of GPUs. This role involves designing and optimizing distributed training frameworks, implementing advanced parallelism strategies, and building fault-tolerant infrastructure to enable large-scale, reproducible experiments.
Metamorphic is developing new approaches to intelligence by combining machine learning with large-scale experimental neuroscience, informed by the principles that make the brain efficient, flexible, and robust. We are building foundation models trained on rich, continuous neural data — a high-resolution model of the brain at a scale never before possible.
Our founding team spans machine learning, neuroscience, and neurotechnology, with prior work including the MICrONS project, Neuropixels, and the Enigma project, as well as foundational scientific contributions in learning, neural computation, and generative modeling. Our work sits at the frontier of AI research, and we believe the highest-impact discoveries will come from researchers and engineers working as a single, tightly collaborative team.
The name Metamorphic reflects our belief that the next advances in intelligence will come from a change in form, beyond scale — from artificial to natural intelligence.
We are hiring Research Engineers to join our growing AI research team. You will work on building and scaling the distributed systems that enable training Metamorphic’s state-of-the-art foundation models across thousands of GPU’s. This is a high-impact, technically deep role working at the frontier of ML research and engineering. You will design and optimize our distributed training framework, implement advanced parallelism strategies, build fault-tolerant infrastructure, and provide the tooling researchers need to run large-scale experiments quickly and reproducibly. You'll have substantial autonomy to shape foundational technical decisions on a small, high-impact team.
You'll thrive in this role if you:
We offer:
Posted June 8, 2026