ML Research Scientist (Computer Vision)
Metamorphic is seeking an ML Research Scientist specializing in Computer Vision to join its AI research team. The role involves pushing the boundaries of multimodal intelligence, developing frontier foundation models for the brain, and writing production-quality code in a highly collaborative environment. This position offers substantial autonomy and the chance to shape foundational technical decisions on a small, high-impact team.
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're seeking Research Scientists to join our growing AI research team. You will push the boundaries of multimodal intelligence, write production-quality code, and help establish the benchmarks that will define this new era of intelligent systems. You will collaborate closely with researchers from diverse backgrounds — including computer vision, neuroscience, NLP, and robotics — to develop frontier foundation models for the brain. 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 2, 2026