PhD Intern

Help Build a Generational Company At Knowlix , we’re on a mission to 10x small businesses’ productivity. We strive to become the dominant small business platform for human‑AI and AI‑to‑AI collaboration. We’re still early, but we’re thinking big. This is your opportunity to help shape a product that serves millions and defines a category. We move fast, ship often, and obsess over quality. If you burn to build, ship, and scale - and you love using AI to make things radically better - this is your seat at the table. Why Knowlix, Why Now

• We’re a well‑funded seed‑stage startup, backed by top‑tier investors and experienced founders.

• Our tech works - and first users are already feeling the first magic

• We’re going after a massive market, with a product that changes how people work

• We believe speed is a function of focus + iteration

This isn’t a job. It’s a chance to help build a once‑in‑a‑generation company if we do things right. The Role As a PhD Intern in Engineering at Knowlix, you’ll help design and implement core components of our AI agent platform. Depending on your research focus, you might explore experiment with hybrid learning architectures, or agentic runtime environments. You’ll work closely with our engineering team to bridge research and production – contributing to real‑world systems that combine automation, reliability, and intelligence. You’ll apply cutting‑edge research to real‑world use cases, and your work will have a direct impact on product direction and technical strategy. What You Bring (Requirements)

• PhD student in Computer Science or related field.

• Strong research background with publications in top‑tier venues.

• Ability to work hands‑on with modern stacks (Python, AWS, Docker, etc.).

You’ll Thrive Here If You… (Preferred)

• You enjoy building systems, not just writing papers.

• You’ve contributed to open‑source projects.

What You’ll Get

• A hands‑on role at the intersection of research and real‑world product development.

• The opportunity to translate your research into impact.

• Close collaboration with experienced engineers, researchers, and founders.

• Exposure to fast‑paced startup execution and technical decision‑making.

• A paid internship with high learning velocity – and a shot to shape what’s next.

• Outstanding interns may be offered a full‑time position after graduation.

• If accepted, present your work at an international research conference.