Junior Engineer at Canopy Labs - Seed-stage AI startup building realtime digital humans

Join an elite team from Oxford, Harvard, and Berkeley to build the production infrastructure powering next-generation AI avatars. As a generalist engineer, you will develop backend services and data pipelines for our Orpheus TTS model, which already serves millions of users. This is a high-impact role shipping code to real-world users immediately.

• Architect and maintain robust backend services and data pipelines that support large-scale deployment of multimodal AI models.
• Build and optimize internal tooling and infrastructure to streamline the training and iteration cycles for the research team.
• Ship production-ready code directly to a user base of millions, ensuring high reliability and low-latency performance for realtime applications.

• Possesses strong software engineering fundamentals in Python and backend development, with a passion for building complex infrastructure.
• Is either a final-year university student with an elite academic background or has 1-2 years of professional engineering experience.
• Demonstrates a "builder" mindset through high-quality side projects, open-source contributions, or successful hackathon entries that show a genuine love for coding.

• Work on the bleeding edge of AI by building foundational models for digital humans that move, speak, and interact with near-human realism.
• Join a high-velocity team of ~10 people with $17M in seed funding, ensuring your work has an outsized impact on a product used by global enterprises.
• Accelerate your career through direct mentorship from a founding team of elite researchers and engineers, gaining deep exposure to production-grade AI infrastructure.