Research Scientist [Computer Vision]

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, 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.

About the Role

We are 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, natural language processing, and robotics—to develop frontier foundation models for the brain.

You will have substantial autonomy to shape foundational technical decisions as part of a small, high-impact team.

You’ll Thrive in This Role If You

• Have a strong ownership mindset.

• Can move effectively from research code to production-quality systems.

• Are a pragmatic problem-solver with close attention to scalability and reliability.

• Are comfortable operating in fast-moving, research-driven environments.

• Are eager to explore machine learning research in a novel scientific domain.

• Are enthusiastic about working 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 possible long-term outcomes.

Qualifications and Experience

• PhD in Computer Science, Machine Learning, Computational Neuroscience, or a related field.

• Publications at top-tier conferences such as CVPR, ICCV, ECCV, ICLR, ICML, or NeurIPS.

• Hands-on experience with at least two of the following:

  • Video foundation models.

  • Diffusion and autoregressive models for video generation.

  • Vision-language-action models.

  • 3D representations, such as Gaussian Splatting or NeRFs.

• Strong first-principles thinking and the ability to operate in ambiguous, research-intensive environments.

• Proficiency with machine learning frameworks such as PyTorch.

• Experience building large-scale machine learning training and evaluation pipelines.

Nice to Have

• Experience conducting long-term development or research projects in academia or industry.

• Familiarity with large-scale data-processing pipelines.

• Contributions to open-source machine learning projects.

• A strong record of publications at leading machine learning or computer vision conferences.

What We Offer

• The opportunity to work on one of the most scientifically consequential AI projects being pursued today.

• A small, world-class team where your contributions directly shape both the science and the company.

• Competitive compensation and comprehensive benefits.

• Visa sponsorship for international candidates.

• Strong mentorship and career-development opportunities.

Salary Range

$175,000–$250,000 USD

Compensation is based on experience. We also offer a competitive equity package, comprehensive benefits, and visa sponsorship for international candidates.

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