Engineering Intern (Summer 2027)

Metamorphic • Palo Alto, CA

1d

About The Position

Metamorphic is developing approaches to intelligence that combine machine learning with large-scale experimental neuroscience. The company is building foundation models trained on rich, continuous neural data, drawing on principles associated with the brain’s efficiency, flexibility, and robustness. Its founding team brings experience across machine learning, neuroscience, and neurotechnology.

Metamorphic is seeking summer 2027 interns for a broad range of roles, including computer vision, embodied AI and reinforcement learning, robotics, agentic systems, language modeling, computational neuroscience, and ML engineering. This is a technically deep, high-impact opportunity to contribute to frontier ML research and engineering at an early-stage company. Interns will work closely with a small, collaborative research team and may help move research code into production-quality systems. The position offers competitive compensation and benefits, mentorship, and career development. Salary is $6,000–$8,000 per month depending on seniority.

The application deadline is November 10, 2026. Interviews are scheduled for November 11–26, 2026, with decisions released December 1, 2026.

Requirements

• 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 at least one of the following: computer vision, embodied AI and reinforcement learning, agentic systems, robotics, language, ML engineering, or computational neuroscience.
• Ability to move from research code to production-quality systems.
• Pragmatic problem-solving skills and attention to scalability and reliability.
• Comfort operating in a fast-moving, research-driven environment.
• Eagerness to learn about machine learning research in a novel scientific domain.
• Enthusiasm for working in a cohesive team pursuing large-scale AI research.
• Ambitious goals for AI progress and interest in creating the best long-term outcomes.

Nice To Haves

• Experience conducting long-term development and/or research projects in academia or industry.
• Contributions to open-source ML projects.
• Publications at top-tier conferences.

Responsibilities

• Contribute to machine learning research and engineering in one or more areas: computer vision, embodied AI and reinforcement learning, agentic systems, robotics, language, ML engineering, or computational neuroscience.
• Move research code toward production-quality systems.
• Help advance the company’s large-scale AI research in a collaborative team environment.

Benefits

• Competitive compensation and benefits.
• Mentorship and career development.
• Opportunity to work on a scientifically consequential AI project and directly shape the science and company.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern