Intern AI Engineer

Who we are

At Blueprint, we turn the unstructured web in actionable insights for consumer brands. We develop models and infrastructure for efficiently extracting data from the web. But more so, our models help categorise, label, and optimize listings for our clients. And above that, we provide them with on demand analytics and actions on how to perform even better. Real world impact on brands that you know and buy. With AI built in the core of every one of those layers.

What we look for

You are studying something technical (CS, AI, Engineering, etc.) and you have built software with LLMs implemented as a core component. Programming language experience does not matter, although we use primarily Go and Typescript. We care more about your traits. You love to solve puzzles and are not afraid of a challenge. You are diligent in your work, but not overly perfectionistic. You thrive in a dynamic environment, with autonomy and collaboration. No hand holding or micromanagement, but always someone available to discuss an idea, problem or challenge.

You will work next to the founders in Amsterdam most days. Tell us when you are available and for how long. Every application gets a reply within five working days.

What you will work on

We believe a combination of divergent and converging tasks is the best combination to grow the most during your internship. You will learn about most parts of the organisation and technical infrastructure, but will also be responsible for your own internal project, which we choose together based on your interest. A few examples of these are:

• Prompts and evaluation for our content optimiser, which rewrites product listings to match the guidelines a retailer publishes and the tone of voice a brand sets.

• Product matching across retailers, where names, images and identifiers rarely agree.

• Evaluation harnesses, so we can tell whether a change to a prompt or a model made the output better or just different.

• Dynamic analytics report/graph generation, to answer questions using visualisations.

• Developing a scoring function for listing performance based on retailer/platform specific guidelines.

• And other small experiments end to end, from a quick idea / question to a "is this feasible, yes/no?".

What we offer

• A lively office in Amsterdam-West, shared with other start-ups.

• Great lunches.

• Internship Allowance.

• Coaching and training, to make sure your curiosity and ambition needs are met.

• Room to pitch and execute your own ideas.

• Possibility to join full-time after the internship.

• A team of smart and talented colleagues.