ML Research Scientist (Computer Vision)

Metamorphic•Palo Alto, CA

19h

About The Position

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 will thrive in this role if you: Have a strong ownership mindset. Have the ability to move from research code to production-quality systems. Pragmatic problem solver with attention to scalability and reliability. Comfortable operating in fast-moving, research-driven environments. Are eager to learn more about machine learning research in a novel scientific domain Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research Have ambitious goals for AI progress and are excited to create the best outcomes over the long term

Requirements

Ph.D. in Computer Science, Machine Learning, Computational Neuroscience, or a related field
Publications at top-tier conferences such as CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS
Hands-on experience with at least two of the following topics: Video foundation models, Diffusion and Autoregressive models for video generation, Vision-Language-Action models, 3D representations (e.g., Gaussian splatting, NeRFs)
Strong first-principles thinking and ability to operate in ambiguous, research-heavy environments
Proficiency in ML frameworks (e.g., PyTorch) and experience building large-scale ML training and evaluation pipelines

Nice To Haves

Experience conducting long-term development and/or research projects in academia or industry
Familiarity with large-scale data processing pipelines
Contributions to open-source ML projects
Publications at top-tier conferences such as CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS

Responsibilities

Push the boundaries of multimodal intelligence
Write production-quality code
Help establish the benchmarks that will define this new era of intelligent systems
Collaborate closely with researchers from diverse backgrounds — including computer vision, neuroscience, NLP, and robotics — to develop frontier foundation models for the brain
Shape foundational technical decisions on a small, high-impact team