Engineering Intern (Summer 2027)

Metamorphic; Palo Alto (CA); On-site; USD 67,000 - 89,000; Full time

Benefits offered by this job

Mentorship

Competitive compensation

Impactful research

Small, world-class team

Job summary

Metamorphic, an AI research startup in Palo Alto, seeks interns across computer vision, embodied AI and RL, robotics, agentic systems, language modeling, computational neuroscience, and ML engineering to join our growing AI research team for the summer. You will work on high-impact projects at the frontier of ML research in a small, collaborative environment.

This internship offers mentorship, career development, and the chance to contribute directly to science and product development within a

Qualifications

• Bachelor's degree or equivalent experience, currently pursuing a PhD or MS in Computer Science, Electrical Engineering, Physics, or another quantitative field.
• Strong interest in computer vision, embodied AI/RL, robotics, language, ML engineering, and related ML research topics.

Skills

Computer vision

Embodied AI & RL

Agentic systems

Robotics

Language modeling

ML engineering

Computational neuroscience

Education

Bachelor's degree or equivalent experience

Pursuing PhD or MS in CS/EE/Physics or related field

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, 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 interns across a broad range of roles including computer vision, embodied AI and RL, robotics, agentic systems, language modeling, computational neuroscience, and ML engineering to join our growing AI research team for the summer. This is a high-impact, technically deep role at the frontier of ML research and engineering in an early stage company.

You'll thrive in this role if you:

• Have the ability to move from research code to production-quality systems

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

• Are 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

• Strong mentorship and career development

Salary Range

$6-8k/month depending on seniority.

Timeline

Application Deadline: November 10th, 2026

Interviews: November 11th - November 26th, 2026

Decision Release: December 1st, 2026

Minimum Qualifications

• Bachelor's degree or equivalent experience, currently pursuing a PhD or MS in Computer Science, Electrical Engineering, Physics, or another quantitative field

• Strong interest in one of the below:

  • Computer vision

  • Embodied AI and RL

  • Agentic systems

  • Robotics

  • Language

  • ML engineering

  • Computational neuroscience

Nice to Have

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

• Contributions to open-source ML projects

• Publications at top-tier conferences