Metamorphic

ML Research Scientist (Computer Vision)

Metamorphic

Palo AltoFullTime$175k – $250kPosted Mar 26, 2026

Job description

ABOUT METAMORPHIC 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 https://www.nature.com/immersive/d42859-025-00001-w/index.html, Neuropixels http://neuropixels.org/, and the Enigma project https://www.enigmaproject.ai/, 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.

ABOUT THE ROLE

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:

  • 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 We offer:
  • The chance to work on one of the most scientifically consequential AI projects being pursued today
  • A small, world-class team where your contributions directly shape the science and the company
  • Competitive compensation and benefits, along with visa sponsorship
  • Strong mentorship and career development SALARY RANGE $175,000 - $250,000 USD Based on experience. We additionally offer a competitive equity package and comprehensive benefits, as well as visa sponsorship for international candidates.

QUALIFICATIONS

& EXPERIENCE

  • 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., Py. Torch) and experience building large-scale ML training and evaluation pipelines.

NICE TO HAVE

  • 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 We encourage you to apply even if you do not believe you meet every single qualification. If you don't see a role that fits, we encourage you to submit a general application and tell us how you'd like to contribute to our mission.