Engineering Intern (Summer 2027)

Metamorphic

Palo Alto, CAOn-siteFull time
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Pay
$6K to $8K
a month
Location
Palo Alto, CA
Work style
On-site
Job type
Full time
Posted
Oct 20
1 day ago
Career path

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What you'll do

  • The intern will contribute to high-impact AI research by developing foundation models trained on large-scale neural data.
  • They will work within a collaborative team to transition research code into production-quality systems.

What you need

  • Candidates must be currently pursuing a PhD or MS in a quantitative field such as Computer Science, Electrical Engineering, or Physics.
  • A strong interest and foundational knowledge in machine learning, neuroscience, or related AI domains are required.
  • Education: a bachelor's degree or a postgraduate degree

Key skills

Machine learningComputer visionEmbodied AIReinforcement learningRoboticsAgentic systemsLanguage modelingComputational neuroscienceML engineeringScalabilityReliabilityResearchGenerative modelingNeural computation

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Perks

  • Competitive compensation
  • Mentorship
  • Career development

See full description on company page, apply now

Read the full posting here
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 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.

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