About the role#
We are looking for interns to join our AI research team for the summer of 2027. You will work on large-scale AI research projects alongside our technical staff. This role involves transitioning research code into production-quality systems while maintaining a focus on scalability and reliability.
What you'll do#
- Contribute to large-scale AI research projects.
- Refine and deploy research code into production systems.
- Solve technical problems with a focus on system reliability and scalability.
What you'll need#
- A Bachelor's degree or equivalent experience.
- Currently pursuing a PhD or MS in Computer Science, Electrical Engineering, Physics, or a related quantitative field.
- A strong interest in areas such as computer vision, Embodied AI, RL, agentic systems, robotics, language modeling, ML engineering, or computational neuroscience.
- Experience with long-term development or research projects in academia or industry is preferred.
- Contributions to open-source ML projects or publications at top-tier conferences are a plus.
Location & details#
- This is a full-time, paid internship based on-site in Palo Alto, California.
- The term is for Summer 2027.
About Metamorphic
Metamorphic is a research services firm based in Palo Alto, California. The company started in 2025. It employs 20 people and operates as a privately held organization. The firm focuses on the intersection of artificial and natural intelligence.
How to get in at Metamorphic
Applying to Metamorphic early gives you a significant advantage because recruiters review applications in the order they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can be among the first to apply before the applicant pile grows. This helps you avoid the frustration of getting lost in a massive queue of late submissions. You can also use Intern Insider to surface the specific recruiters behind Metamorphic roles. Reaching out directly to these individuals to ask about the position or a potential referral often improves your response rates compared to a standard online application. It is a more direct way to show your interest to the people actually making the hiring decisions.
